data engineer lead

Grant Thornton

<div></div><ul><div>7 - 10 Years</div>
<div></div><div>1 Opening</div>
 <div>Bengaluru</div></ul>
 <div><h3 class="jobSectionHeader">Role description</h3>
<div>Key Responsibilities:
<ul>
<li>Design, develop, and deploy AI/ML models using Microsoft Azure AI services (e.g., Azure Machine Learning, Cognitive Services, OpenAI on Azure) and have experience on Agentic Frameworks.</li>
<li>Collaborate with stakeholders to translate business challenges into AI-based solutions.</li>
<li>Lead end-to-end AI projects: from data collection and preprocessing to model training, evaluation, and deployment.</li>
<li>Integrate open-source frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) into Microsoft cloud environments.</li>
<li>Optimize AI pipelines using MLOps tools (e.g., Azure ML Pipelines, GitHub Actions, MLflow).</li>
<li>Develop data science models for predictive analytics, NLP, computer vision, or generative AI applications.</li>
<li>Champion responsible AI practices, data governance, model fairness, and transparency.</li>
<li>Mentor junior data scientists and engineers; conduct code reviews and knowledge-sharing sessions.</li>
</ul></div>
<h3 class="jobSectionHeader">Skills</h3>
<div>Required Qualifications:
<ul>
<li>10+ years of experience in AI, machine learning, or data science roles.</li>
<li>Strong experience with Microsoft AI/ML stack: Azure Machine Learning, Azure Cognitive Services, Power BI with AI, Azure Synapse Analytics.</li>
<li>Proficiency in open-source AI frameworks: TensorFlow, PyTorch, Hugging Face, Scikit-learn.</li>
<li>Strong programming skills in Python (preferred), R, or C#.</li>
<li>Deep understanding of data modeling, statistical analysis, and algorithm development.</li>
<li>Experience with cloud-native AI deployments and containerization (Docker, Kubernetes).</li>
<li>Hands-on knowledge of MLOps, CI/CD pipelines, and AI lifecycle management.</li>
<li>Experience working in agile and cross-functional teams.</li>
<li>Excellent communication, leadership, and presentation skills.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Microsoft certifications such as:</li>
<ul><li>Azure AI Engineer Associate</li>
<li>Azure Data Scientist Associate</li>
<li>Azure Solutions Architect Expert</li>
</ul><li>Experience integrating AI into Microsoft Power Platform and Dynamics 365.</li>
<li>Exposure to generative AI (e.g., OpenAI, GPT models on Azure, LLM fine-tuning).</li>
<li>Experience in multi-cloud or hybrid-cloud AI architecture.</li>
<li>Familiarity with open-source data versioning and pipeline tools (e.g., DVC, Kedro, Prefect).</li></ul></div></div>
 <div><h3 class="jobSectionHeader">About Grant Thornton INDUS</h3>
<div>&lsquo;Grant Thornton INDUS&rsquo; comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. What sets us apart isn&rsquo;t just what we do &ndash; it&rsquo;s how we do it. We support and enable the firm&rsquo;s purpose of making business more personal and building trust into every result. We&rsquo;re collaborators &ndash; obsessed with quality and ready for anything &ndash; who understand the value of strong relationships. Our professionals are well integrated to seamlessly support the U.S. engagement teams, help increase Grant Thornton&rsquo;s access to a wide talent pool, and improve operational efficiencies. Empowered people, bold leadership, and distinctive client service are imbibed in the culture at Grant Thornton INDUS. We are a transparent, competitive, and excellence-driven firm that offers an opportunity to be part of something significant. In addition, professionals at Grant Thornton INDUS serve communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India &ndash; Bengaluru and Kolkata</div></div>

Azure Data Engineer - Lead Consultant

EVA Pharma

<div>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.
Job Summary:
We are seeking a passionate and talented Data Engineer Senior Lead to join our dynamic team. The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry. 
 
Key Responsibilities:<ul>
<li>
Design, develop, and maintain reliable ETL/ELT pipelines that move data from multiple sources into cloud-based warehouses such as Snowflake, BigQuery, or Databricks. Ensure real-time or near&ndash;real-time data processing for analytics dashboards and operational systems. Continuously fine-tune performance to handle growing data volumes efficiently.</li>
<li>Implement automated validation checks, anomaly detection, and alerting systems to maintain high data accuracy. Ensure all pipelines comply with data privacy and security standards (e.g., GDPR, SOC 2). Maintain clear documentation and data lineage to support audits and cross-team visibility.</li>
<li>Evaluate and introduce new tools like Airflow, dbt, Kafka, or Spark to improve efficiency and scalability. Collaborate with AI/ML teams to enable deployment and integration of advanced models.</li>
<li>Develop best practices for data modeling, storage optimization, and version control. Align data structures with key business metrics and analytics use cases to ensure consistency across departments.</li>
<li>Conduct design reviews, ensure high-quality code, and promote a collaborative culture focused on innovation and continuous improvement. Also, Mentor and coach data engineers to enhance their technical skills and improve project execution.</li>
</ul>
Requirements<ul>
<li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li>
<li>7-10 years of experience in data engineering or related fields, with at least 2 years in a leadership role.</li>
<li>Proven ability to design, build, and optimize scalable ETL/ELT pipelines and data workflows for analytics and operational use.</li>
<li>Strong skills in SQL and Python, with hands-on experience in cloud-based data platforms and distributed systems.</li>
<li>Deep understanding of data modeling, data warehousing, orchestration tools (e.g., Airflow, Prefect), and big data technologies such as Spark and Databricks.</li>
<li>Solid grasp of data governance, privacy, and security best practices, combined with strong problem-solving, architectural design, and cross-functional collaboration abilities.</li></ul></div>

Data Engineer Senior Lead

BIPB

<div>The Role: 
Keyrus is seeking a Senior Data Engineer &amp; Analytics Lead to join our Data Delivery team and drive the design, development, and optimisation of scalable cloud-based data solutions. This role goes beyond traditional data engineering &mdash; we are looking for someone who can own the end-to-end data lifecycle, from pipeline architecture to data validation, exploratory analysis, and insight presentation.
The ideal candidate combines strong data engineering capabilities with the ability to collate, analyse, and interpret data to generate meaningful business value. A foundational understanding of data science concepts is expected, even if not at a fully advanced modelling level.<ul>
<li>
Location: Hybrid &ndash; Pune, India (3 days onsite)</li>
<li>Target Start: October 2025</li>
<li>Compensation: &#8377;25,00,000 &ndash; &#8377;35,00,000 INR</li></ul> 
Responsibilities:<ul>
<li>
Architect, build, and optimise cloud-native data pipelines and big data ecosystems using Azure and Snowflake.</li>
<li>Perform data ingestion, transformation, and enrichment, ensuring high data quality and reliability across downstream use cases.</li>
<li>Conduct basic exploratory data analysis (EDA) and generate insight-ready datasets to support business stakeholders and analytics teams.</li>
<li>Present data findings and performance insights clearly to both technical and non-technical stakeholders.</li>
<li>Ensure all Non-Functional Requirements (security, performance, scalability, DR, compliance) are embedded in design and implementation.</li>
<li>Evaluate and prototype modern data technologies, leading POCs to drive innovation and continuous improvement.</li>
<li>Collaborate with Data Governance teams to ensure accurate metadata and lineage tracking (e.g., via Collibra or similar tools).</li>
<li>Advocate for data mesh principles, reusable data products, and best practices across engineering and business teams.</li>
<li>Leverage DevSecOps and automation tools (Terraform, GitHub, CI/CD) to streamline deployment and operational excellence.</li></ul> 
What we're looking for in our applicants:<ul>
<li>
10+ years of hands-on experience in data engineering in enterprise/cloud environments.</li>
<li>Proven experience building data pipelines on Azure (Azure Data Factory, Databricks, Synapse, or equivalent). 
</li>
<li>Demonstrated ability in Snowflake development, including SQL performance optimisation. 
</li>
<li>Practical exposure to Python for data workflows and basic analytical scripting (pandas, data inspection, validation scripts). 
</li>
<li>Experience performing data joins, validation, quality checks, and exploratory insights aggregation. 
</li>
<li>Strong understanding of data lake/data warehouse architectures and modern data platform patterns. 
</li>
<li>Skilled in DevOps/Infra-as-Code tooling (Terraform, GitHub, CI/CD pipelines) and automated deployment strategies. 
</li>
<li>Ability to translate complex technical concepts into clear business-relevant insights. 
</li>
<li>Experience collaborating with multidisciplinary teams ,including Data Scientists, Analysts, Governance, and Product stakeholders.</li></ul> 
Why Keyrus?
Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.
You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem.
Keyrus gives you the opportunity to showcase your talents and potential, to build up experience through working with our clients, with the opportunity to grow depending on your capabilities and affinities, in a great working and dynamic atmosphere. 
Keyrus UK Benefits:<ul>
<li>
Competitive holiday allowance</li>
<li>Very comprehensive Private Medical Plan</li>
<li>Flexible working patterns</li>
<li>Workplace Pension Scheme</li>
<li>Sodexo Lifestyle Benefits</li>
<li>Discretionary Bonus Scheme</li>
<li>Referral Bonus Scheme</li>
<li>Training &amp; Development via KLX (Keyrus Learning Experience)</li></ul></div>

Senior Data Engineer & Analytics Lead

Kanerika Software

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>10/21/2025
</div></div><div>Job Type
<div>Full time
</div></div><div>Work Experience
<div>5+ years
</div></div><div>Industry
<div>IT Services
</div></div><div>City
<div>Hyderabad, Ahmedabad, Indore, India
</div></div><div>State/Province
<div>Telangana
</div></div><div>Country
<div>India
</div></div><div>Zip/Postal Code
<div>500032
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3>
<div>Data Engineering Lead 
About Kanerika 
Who we are 
Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data. We leverage cutting-edge technologies and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. 
Awards and Recognitions 
Kanerika has won several awards over the years, including: 
<ul><li>
Best Place to Work 2022 by Great Place to Work&reg; 
</li><li>
Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today 
</li><li>
Frost &amp; Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture 
</li><li>
Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances.</li></ul> 
Working for us 
Kanerika is rated 4.5/5 on Glass door, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people&rsquo;s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you&rsquo;ll get while working for Kanerika. 
Role<div> 
As a Data Engineering Lead, your role will involve designing, developing, and implementing interactive dashboards and reports using data engineering tools. You will work closely with stakeholders to gather requirements and translate them into effective data visualizations that provide valuable insights. Additionally, you will be responsible for extracting, transforming, and loading data from multiple sources into Power BI, ensuring its accuracy and integrity. Your expertise in Power BI and data analytics will contribute to informed decision-making and support the organization in driving data-centric strategies and initiatives. 
 
</div> 
<h3 class="jobSectionHeader">Requirements</h3>
We are looking for you! 
As an ideal candidate for the Data Engineering Lead position, you embody the qualities of a team player with a relentless get-it-done attitude. Your intellectual curiosity and customer focus drive you to continuously seek new ways to add value to your job accomplishments. You thrive under pressure, maintaining a positive attitude and understanding that your career is a journey. You are willing to make the right choices to support your growth. In addition to your excellent communication skills, both written and verbal, you have a proven ability to create visually compelling designs using tools like Power BI and Tableau that effectively communicate our core values. 
You build high-performing, scalable, enterprise-grade applications and teams. Your creativity and proactive nature enable you to think differently, find innovative solutions, deliver high-quality outputs, and ensure customers remain referenceable. With over eight years of experience in data engineering, you possess a strong sense of self-motivation and take ownership of your responsibilities. You prefer to work independently with little to no supervision. 
You are process-oriented, adopt a methodical approach, and demonstrate a quality-first mindset. You have led mid to large-size teams and accounts, consistently using constructive feedback mechanisms to improve productivity, accountability, and performance within the team. Your track record showcases your results-driven approach, as you have consistently delivered successful projects with customer case studies published on public platforms. Overall, you possess a unique combination of skills, qualities, and experiences that make you an ideal fit to lead our data engineering team(s). You value inclusivity and want to join a culture that empowers you to show up as your authentic self. 
You know that success hinges on commitment, our differences make us stronger, and the finish line is always sweeter when the whole team crosses together. In your role, you should be driving the team using data, data, and more data. You will manage multiple teams, oversee agile stories and their statuses, handle escalations and mitigations, plan ahead, identify hiring needs, collaborate with recruitment teams for hiring, enable sales with pre-sales teams, and work closely with development managers/leads for solutioning and delivery statuses, as well as architects for technology research and solutions. 
What you&rsquo;ll do 
Following are high level responsibilities that you will play but not limited to: 
<ul><li>
Lead the design, development, and implementation of modern data pipelines, data models, and ETL/ELT processes. 
</li><li>
Architect and optimize data lake and warehouse solutions using Microsoft Fabric, Databricks, or Snowflake. 
</li><li>
Enable business analytics and self-service reporting through Power BI and other visualization tools. 
</li><li>
Collaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions. 
</li><li>
Implement and enforce best practices for data governance, data quality, and security. 
</li><li>
Mentor and guide junior data engineers; establish coding and design standards. 
</li><li>
 Evaluate emerging technologies and tools to continuously improve the data ecosystem.</li></ul><div> 
 What you&rsquo;ll bring</div><div></div><div> 
<ul><li>
Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Information Technology, Engineering, or related field. 
</li><li>
 8+ years of experience in data engineering or data platform development, with at least 2&ndash;3 years in a lead or architect role. 
</li><li>
Strong hands-on experience in one or more of the following: 
</li><li>
Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse) 
</li><li>
 Databricks (Spark, Delta Lake, PySpark, MLflow) 
</li><li>
Snowflake (Data Warehousing, Snowpipe, Performance Optimization) 
</li><li>
 Power BI (Data Modeling, DAX, Report Development) 
</li><li>
 Proficiency in SQL and programming languages like Python or Scala. 
</li><li>
 Experience with Azure, AWS, or GCP cloud data services. 
</li><li>
 Solid understanding of data modeling, data governance, security, and CI/CD practices.</li></ul></div><div></div><h3 class="jobSectionHeader"> 
Benefits</h3>
Employee Benefits 
1. Culture: 
<ul><li>
Open Door Policy: Encourages open communication and accessibility to management. 
</li><li>
Open Office Floor Plan: Fosters a collaborative and interactive work environment. 
</li><li>
Flexible Working Hours: Allows employees to have flexibility in their work schedules. 
</li><li>
Employee Referral Bonus: Rewards employees for referring qualified candidates. 
</li><li>
Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.</li></ul> 
2. Inclusivity and Diversity: 
<ul><li>
Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. 
</li><li>
Mandatory POSH training: Promotes a safe and respectful work environment.</li></ul> 
3. Health Insurance and Wellness Benefits: 
<ul><li>
GMC and Term Insurance: Offers medical coverage and financial protection. 
</li><li>
Health Insurance: Provides coverage for medical expenses. 
</li><li>
Disability Insurance: Offers financial support in case of disability.</li></ul> 
4. Child Care &amp; Parental Leave Benefits: 
<ul><li>
Company-sponsored family events: Creates opportunities for employees and their families to bond. 
</li><li>
Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. 
</li><li>
Family Medical Leave: Offers leave for employees to take care of family members' medical needs.</li></ul> 
5. Perks and Time-Off Benefits: 
<ul><li>
Company-sponsored outings: Organizes recreational activities for employees. 
</li><li>
Gratuity: Provides a monetary benefit as a token of appreciation. 
</li><li>
Provident Fund: Helps employees save for retirement. 
</li><li>
Generous PTO: Offers more than the industry standard for paid time off. 
</li><li>
Paid sick days: Allows employees to take paid time off when they are unwell. 
</li><li>
Paid holidays: Gives employees paid time off for designated holidays. 
</li><li>
Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.</li></ul> 
6. Professional Development Benefits: 
<ul><li>
L&amp;D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. 
</li><li>
Mentorship Program: Offers guidance and support from experienced professionals. 
</li><li>
Job Training: Provides training to enhance job-related skills. 
</li><li>
Professional Certification Reimbursements: Assists employees in obtaining professional certifications. 
</li><li>
Promote from Within: Encourages internal growth and advancement opportunities.</li></ul></div></div></div>

Data Engineering Lead

Zensar Technologies

<div>Job Title: 
Pre-Sales &amp; Technical Solution Head &ndash; Analytics &amp; AI (Across Hyperscalers) Location:
Pune
Role Overview:
We are seeking an accomplished Pre-Sales &amp; Technical Solution Head to lead Analytics and AI solutioning across hyperscaler ecosystems &mdash; AWS, Azure, and GCP .
This role will spearhead enterprise solution strategy, pre-sales engagement, and technical architecture for large-scale data and AI programs. The ideal candidate will blend deep cloud analytics expertise , customer advisory acumen , and leadership capability to drive growth, innovation, and market differentiation. 
Key Responsibilities: 1. Solution Leadership &amp; Pre-Sales Strategy
Own end-to-end pre-sales and solution architecture for Data, Analytics, and AI opportunities across hyperscalers.
Lead solution responses for RFPs/RFIs , executive presentations, and customer workshops.
Define reference architectures and accelerators for data modernization, MLOps, GenAI, and intelligent automation.
Collaborate with practice, delivery, and partner alliance teams to create winning, scalable solution propositions.
Drive go-to-market strategy and build solution playbooks tailored to verticals like High-Tech, BFSI, Healthcare, and Manufacturing. 
2. Technical Expertise &amp; Architecture Architect cloud-native data platforms and AI ecosystems leveraging modern data stack technologies (Snowflake, Databricks, BigQuery, Synapse, Fabric).
Design end-to-end architectures covering data ingestion, transformation, governance, visualization, and AI/GenAI integration.
Evaluate and integrate GenAI frameworks (Azure OpenAI, Vertex AI, Amazon Bedrock, LangChain, LlamaIndex) into enterprise-grade solutions.
Ensure alignment with security, compliance, and cost optimization best practices. 
3. Customer Engagement &amp; Advisory
Act as a trusted advisor to client executives (CDO, CTO, CIO, Head of Data).
Conduct discovery and envisioning sessions to identify business challenges and translate them into actionable data &amp; AI solutions.
Partner with sales and delivery leaders to define value propositions and ROI-driven solution outcomes .
Support executive-level presentations demonstrating innovation, scalability, and time-to-value benefits. 
4. Partnership &amp; Ecosystem Collaboration
Build deep alliances with hyperscaler partners (AWS, Microsoft, Google) and leverage their GTM programs and funding mechanisms.
Collaborate with partner engineering teams to co-create joint industry POVs and reference architectures .
Represent the organization in partner and industry forums showcasing innovation and thought leadership in Analytics &amp; AI. 
5. Leadership &amp; Capability Building
Mentor and lead a global team of solution architects and pre-sales consultants .
Drive internal enablement on modern data and AI stacks across delivery and pre-sales functions.
Contribute to IP creation, solution frameworks, and reusable assets (e.g., GenAI accelerators, Data Buddy, ZensAI, etc.). 
Required Skills &amp; Experience:
15+ years of experience in Data Engineering, Analytics, and AI , with 5+ years in pre-sales or solution leadership roles.
Deep understanding of hyperscaler ecosystems &mdash; AWS, Azure, and GCP &mdash; and their analytics &amp; AI offerings.
Proven experience in solutioning large-scale transformation programs (&gt;$10M+) for global enterprises.
Strong command over modern data architectures, data governance, AI/ML pipelines, and GenAI adoption frameworks .
Excellent executive communication, proposal writing, and storytelling skills .
Demonstrated success in partner-driven GTM and enterprise deal conversions . 
Preferred Certifications:
AWS Certified Data Analytics / Machine Learning &ndash; Specialty
Microsoft Certified: Azure Data Engineer or AI Engineer Associate
Google Cloud Professional Data Engineer / ML Engineer
Databricks / Snowflake Solution Architect Certification
GenAI or LLM Application Development certification (OpenAI / Azure / GCP) 
Key Success Metrics (KPIs):
Analytics &amp; AI deal conversion rate and revenue influenced
Number of joint GTM wins with hyperscaler partners
Reusable solution assets and accelerators developed
Customer satisfaction and CXO feedback on solution workshops
Internal enablement score for analytics pre-sales and architecture teams 
Why Join Us
Shape enterprise AI &amp; Analytics strategy across leading global clients.
Drive innovation with next-gen accelerators (ZensAI, Data Buddy, Agentic AI) .
Partner with hyperscalers to build industry-leading data modernization blueprints .
Lead a high-performing global team driving measurable business impact.</div>

DE&A - Core - Cloud Data Engineering - AWS Data Engineering

Solifi

<div><div>Vacancy Name<div> Lead AI Engineer</div></div> 
<div>
Vacancy No<div> VN781</div></div> 
<div>
Job Title<div> Lead AI Engineer</div></div> 
<div>
Work Location City<div> Bangalore</div></div> 
<div>
About Solifi<div> Solifi deliver a solid financial technology foundation for equipment, working capital, wholesale, and automotive finance firms. At Solifi, we believe that commerce is only as strong as the system it runs on. Our mission is to reshape finance technology by bringing together proven solutions into a singular powerful technology platform designed to help protect and scale financial organizations. We guard our customers by being precise and reliable, we guide their success by combining powerful technology with proven expertise, and we help them grow by unleashing their potential.</div></div> 
<div>
About the Team<div><div><div>
You&rsquo;ll work within Solifi&rsquo;s AI Product Team, a lean, senior group that owns AI products end-to-end from problem discovery to deployment and operations.</div></div> 
</div></div> 
<div>
About the Position<div> We&rsquo;re looking for a hands-on full-stack AI engineer who can architect, code, and ship AI-powered products end-to-end, from model integration to frontend experience.
 
 
This role combines the depth of an AI/ML engineer with the breadth of a full-stack developer. You&rsquo;ll build production-grade AI systems that include backend services, frontend interfaces, data integrations, and deployment pipelines.
 
 
You&rsquo;ll be the technical anchor of Solifi&rsquo;s AI product team, working closely with the AI Product Lead, Data Scientist, and Data Engineer to deliver scalable, customer-facing AI features.</div></div> 
<div>
Role and Responsibilities<div> Own architecture and development of full-stack AI solutions - backend, APIs, and frontend experiences.
 
 
Build and deploy production-ready AI applications integrating data pipelines, models, and user interfaces.
 
 
Design and implement backend services (Python/Node) that connect ML models and business logic.
 
 
Develop frontend interfaces (React, Angular, or similar) for pilots, internal tools, and live products.
 
 
Implement model orchestration and inference APIs, with observability and scalability.
 
 
Manage CI/CD, deployment, and monitoring (initially handle MLOps automation within the team).
 
 
Work with Data Scientist and Data Engineer to streamline data flow and model serving.
 
 
Ensure clean architecture, modular design, and strong security/compliance practices.
 
 
Mentor team members and help shape engineering standards and reusable frameworks.</div></div> 
<div>
About You<div><div><div>
Core Engineering:
<ul><li>Proficient in Python and one backend framework (FastAPI, Flask, Node.js, or similar).
</li><li>Strong grasp of microservices, API design, and distributed systems.
</li><li>Solid experience with databases (PostgreSQL, MongoDB, Redis) and message queues (Kafka).
</li><li>Proficient with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
</li><li>Cloud experience with GCP / AWS / Azure (compute, storage, IAM, networking). 
 
Frontend Development:
</li><li>Proficiency with React, Angular, or similar modern frameworks.
</li><li>Experience building interactive dashboards, admin tools, or customer-facing UIs.
</li><li>Strong grasp of JavaScript/TypeScript, HTML/CSS, and integration with REST/GraphQL APIs.
</li><li>Familiarity with frontend testing, performance tuning, and responsive design. 
 
AI Integration:
</li><li>Experience integrating ML or LLM models into production systems (LLMs, RAG, NLP, CV, etc.).
</li><li>Familiarity with LangChain, Hugging Face, or open-source AI serving frameworks.
</li><li>Understanding of model packaging, inference optimization, and monitoring.
</li><li>Experience with vector databases and embeddings pipelines. 
 
Nice to Have
</li><li>Built and deployed AI features for SaaS or financial platforms.
</li><li>Exposure to serverless architectures (Cloud Run, Lambda, etc.).
</li><li>Interest in UX and how AI functionality translates to user experience.
</li><li>Early-stage startup or innovation lab experience (comfortable with ambiguity). 
 
Success in 6&ndash;12 Months
</li><li>Deliver at least two AI features from prototype to production (end-to-end).
</li><li>Establish foundational architecture for Solifi&rsquo;s internal AI platform.
</li><li>Implement monitoring and CI/CD frameworks for AI deployments.
</li><li>Mentor newer engineers and document best practices for AI product builds. 
</li></ul></div></div> 
</div></div> 
<div>Preferred Experience Level<div> 8 years</div></div> 
<div>
Preferred Education Level<div> Bachelor's Degree</div></div> 
<div>
Employment Basis<div> Full Time</div></div> 
<div>
Benefits<div> Group Medical Insurance, Group Personal Accident, Employee Anniversary gift, Loyalty Bonus, Employee Referral Bonus, Rewards and Recognition program, Wellness Allowance, Privilege Leave (PL): 15 days per year, Casual Leave (CL) 12 days per year, Maternity/paternity/Bereavement leave</div></div> 
<div>
Applications Close Date</div></div><div></div>

Lead AI Engineer

Parsons

Job Title Assistant Resident Engineer Civil - Infrastructure and Utilities Supervision Job Description Assistant Resident Engineer Civil - Infrastructure and Utilities Supervision Position Overview Parsons Corporation is hiring an Assistant Resident Engineer (Civil) for a key infrastructure project in Dubai, UAE. This position supports the Resident Engineer in managing day-to-day utilities and civil site operations, ensuring compliance with project standards, coordinating with authorities, and driving progress through effective communication and documentation. Job Details Job Location: Dubai, UAE Industry: Engineering / Infrastructure Function: Civil Engineering Gender: Any Candidate Nationality: Any Candidate Current Location: Any Job Type: Full Time Role Summary As an Assistant Resident Engineer Civil in Dubai, you will be responsible for overseeing the construction and supervision of road and utility works. You ll act as the key point of contact with contractors and service authorities, ensure timely inspections, and maintain accurate site records. This role is ideal for experienced civil engineers who understand project coordination and can lead quality and safety efforts across large infrastructure sites. Core Duties * Support the Resident Engineer in supervising civil and wet utility construction activities * Act as project lead in the Resident Engineer s absence * Coordinate closely with contractors, consultants, and government authorities to facilitate approvals and site progress * Review shop drawings, method statements, and technical submissions * Monitor daily construction activities and maintain detailed project logs * Lead and support inspectors and surveyors in executing quality inspections * Ensure compliance with health and safety protocols and participate in HSE initiatives * Chair or participate in utility coordination meetings and prepare progress documentation * Assist in quality control by reviewing test results, material compliance, and workmanship * Ensure accurate handover documentation and as-built records Candidate Requirements * Bachelor s degree in Civil Engineering (UAE attestation preferred) * Minimum 8 years of experience in site supervision and infrastructure project delivery * Strong background in roads, sewerage, and wet utilities construction in the Gulf region * Familiarity with contract administration and construction documentation * Working knowledge of quality control procedures and technical reporting * Competency in computer applications for site supervision and data tracking * Excellent English communication and technical writing skills * Ability to liaise with government agencies and utility service providers * Experience with handover and final clearance of works to service authorities

Assistant Resident Engineer

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