machine learning lead

INFRA ASSURE

<p><b>Job Purpose</b></p><p>Oversees the end-to-end ML lifecycle and leads cross-functional teams to build, deploy, and scale AI solutions aligned to strategic business needs.</p><p><b>Key Responsibilities</b></p><p>&middot; Lead architecture and design of ML systems across domains.</p><p>&middot; Supervise development of robust, production-grade ML pipelines.</p><p>&middot; Champion best practices in experimentation, MLOps, and model monitoring.</p><p>&middot; Translate business objectives into scalable ML strategies.</p><p>&middot; Mentor team members and foster a culture of innovation and excellence.</p><p><b>Minimum Qualifications</b></p><p>Education: Bachelor of Computer Science, Master&rsquo;s in ML, CS, or Math is a plus</p><p>Experience: 6 years</p><p><b>Key Competency Requirements</b></p><p><i><b>Technical Skills:</b></i></p><p>&middot; Expertise in supervised, unsupervised, and deep learning techniques.</p><p>&middot; Strong command of cloud-native ML tools and data pipelines.</p><p><i><b>Leadership Skills:</b></i></p><p>&middot; Experience leading ML teams through delivery and operationalization.</p><p>&middot; Track record of delivering ML products in agile environments.</p><p><i><b>Soft Skills:</b></i></p><p>&middot; Visionary leadership and technical communication.</p><p>&middot; Stakeholder influence and cross-team coordination.</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What is your current notice period or earliest joining date?</li><li>What are your salary expectations for this role?</li><li>Current location, nationality, and current job title/role?</li><li>Which cloud-native ML tools, frameworks, or data pipelines have you worked with in production?</li><li>Have you implemented MLOps, model monitoring, and experimentation best practices?</li><li>How do you provide visionary leadership and technical guidance to ML teams?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>ML lifecycle management, architecture, and delivery: 6 years (Preferred)</li></ul><p>Language:</p><ul><li>Arabic and English (Preferred)</li></ul><p>Location:</p><ul><li>Dubai (Preferred)</li></ul>

Machine Learning Tech Lead

ProClink

<div><div><b>Title: </b><b>Technical Lead (AI/ML/GenAI)</b></div><div></div><div><b><br>
 Job Description:</b></div><div>
We are seeking a highly skilled and innovative Technical Lead ( AI/ML/GenAI) with strong hands-on experience in Agentic AI, Machine Learning, and Cloud Platforms like AWS and Databricks. The ideal candidate will be proficient in building intelligent systems using agentic frameworks to deliver scalable, production-grade solutions such as chatbots and autonomous agents.</div><div><b>
Key Responsibilities:</b></div><ul><li>
Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications.</li><li>
Build and optimize chatbots and autonomous agents using LLM endpoints and frameworks like LangChain, Semantic Kernel, or similar.</li><li>
Implement vector search using technologies such as FAISS, Weaviate, Pinecone, or Milvus for semantic retrieval and RAG (Retrieval-Augmented Generation).</li><li>
Collaborate with data engineers and product teams to integrate ML models into production systems.</li><li>
Monitor and maintain deployed models, ensuring performance, scalability, and reliability.</li><li>
Conduct experiments, A/B testing, and model evaluations to improve system accuracy and efficiency.</li><li>
Stay updated with the latest advancements in AI/ML, especially in agentic systems and generative AI.</li><li>
Ensure robust security, compliance, and governance, including role-based access control, audit logging, and data privacy controls.</li><li>
Collaborate with data scientists, ML engineers, and product teams to deliver scalable, production-grade GenAI solutions.</li><li>
Participate in code reviews, architecture discussions, and continuous improvement of the GenAI platform.</li></ul><div></div><div><b><br>
 Required Skills &amp; Qualifications</b></div><ul><li>
8+ years of experience in <b>Machine Learning, Deep Learning, and AI system design</b>.</li><li>
Strong hands-on experience <b>with Agentic AI frameworks and LLM APIs (e.g., OpenAI)</b></li><li>
Certifications in AI/ML or cloud-based AI platforms (<b>AWS, GCP, Azure</b>).</li><li>
Proficiency in Python and ML libraries like scikit-learn, XGBoost, etc.</li><li>
Experience with AWS services such as SageMaker, Lambda, S3, EC2, and IAM.</li><li>
Expertise in Databricks for collaborative data science and ML workflows.</li><li>
Solid understanding of vector databases and semantic search.</li><li>
Hands-on experience with MLOps including containerization (Docker, Kubernetes), CI/CD, and model monitoring along with tools like MLflow,</li><li>
Experience with RAG pipelines &amp; LangChain.</li><li>
LLM orchestration, or agentic frameworks.</li><li>
Knowledge of data privacy</li><li>
Exposure to real-time inference systems and streaming data.</li><li>
Experience in regulated industries such as healthcare, biopharma</li><li>
Proven ability to scale AI teams and lead complex AI projects in high-growth environments</li><li>
Oil &amp; Gas, refinery operations &amp; financial services exposure is preferred</li><li>
Master&rsquo;s/ bachelor&rsquo;s degree (or equivalent) in computer science, mathematics, or related field</li></ul></div>

Lead - AI/ ML/ GenAI

<div>
 Position Summary: We are looking for a visionary and deeply experienced Principal Data Scientist with 15+ years of experience in advanced data science and machine learning, and proven leadership in Generative AI (GenAI) . You will be responsible for conceptualizing and delivering high-impact AI solutions using large language models (LLMs), diffusion models, and other GenAI techniques, while also mentoring teams and influencing AI strategy across the organization. Key Responsibilities: AI Strategy &amp; Leadership Drive the strategic direction of Generative AI initiatives aligned with business objectives. Evaluate, prototype, and implement GenAI technologies (e.g., GPT, Claude, LLaMA, Stable Diffusion). Serve as an AI thought leader, influencing executive decision-making and shaping the company&rsquo;s AI roadmap. Model Development &amp; Deployment Design and build advanced GenAI solutions, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Lead the end-to-end development and deployment of ML/GenAI models into production environments. Develop scalable architectures for serving LLMs and other foundation models. Research &amp; Innovation Stay at the forefront of GenAI advancements by engaging with academic research, open-source communities, and industry forums. Contribute to internal AI research initiatives and explore novel applications of generative models. Publish whitepapers, patents, or present at top AI conferences as applicable. Cross-functional Collaboration Collaborate closely with data engineering, product, design, and business stakeholders to translate complex needs into AI-powered solutions. Educate teams on the capabilities, limitations, and ethical considerations of GenAI. Mentorship &amp; Governance Mentor and coach junior and mid-level data scientists. Establish best practices for model governance, ethical AI, bias mitigation, and model explainability. Define frameworks for AI evaluation, monitoring, and lifecycle management. Required Qualifications: 15+ years of experience in data science, machine learning, or artificial intelligence. Demonstrated expertise in building and deploying GenAI solutions, particularly with large-scale language and vision models. Deep knowledge of ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain). Strong programming skills in Python and experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Vertex AI). Strong grounding in statistics, probability, optimization, and deep learning theory. Experience working with multimodal data (text, image, audio, video) and advanced NLP/NLG techniques. Preferred Qualifications: Ph.D. or Master&rsquo;s in Computer Science, Machine Learning, Mathematics, or related field. Experience with enterprise applications of GenAI (e.g., content generation, synthetic data, co-pilots, document understanding). Familiarity with MLOps and AI model lifecycle management in production environments. Knowledge of AI regulations, data privacy, and responsible AI frameworks.
</div>


1985435-Assistant Vice President

LenDenClub

<div><div><b>About LenDenClub</b></div><div>
LenDenClub is India&rsquo;s largest Peer-to-Peer (P2P) Lending platform, owned and operated by Innofin Solutions Pvt.Ltd., an RBI-registered (NBFC-P2P). It provides an opportunity to lenders looking for high interest rates by connecting them with creditworthy borrowers looking for short-term loans. LenDenClub has become a go-to platform to earn returns, lenders have historically earned an XIRR 11.28% p.a. The platform has an active user base of over 2 Cr+ users and loan disbursal of over &#8377;15,000 crores.</div><div>
LenDenClub also owns InstaMoney which is one of India&rsquo;s leading D2C short term personal loan apps with over 30M downloads and annual growth rate of multiple X.<br>
</div><div></div><br>
<div><b>Why work at LenDenClub</b></div><div>
At LenDenClub, we take pride in being the first Peer-to-Peer lending platform to offer ESOP liquidity, and this achievement has allowed us to set a new benchmark. The progressive approach towards employee benefits has been acknowledged and appreciated and as a result, LenDenClub has been certified as a Great Place to Work successively for three years by the Great Place to Work Institute.</div><div></div><div><br>
As a LenDenite, you will be a part of an enthusiastic and passionate group of individuals who own and love what they do. At LenDenClub, we believe in creating leaders, and you will get to work with complete freedom to chase your ultimate career goal without any inhibitions. We remain committed to continuing our journey of innovation and fostering a positive work environment for our team.</div><div></div><div><b><br>
Profile Summary</b></div><div>
We are seeking a highly experienced Lead Advanced Analytics professional with 10+ years of expertise in developing cutting-edge credit underwriting models using modern machine learning techniques and alternative data sources. This role will drive innovation in our lending decision-making processes and lead a team of analytics professionals in a dynamic fintech environment.</div><div></div><div><b><br>
Job Responsibilities</b></div><div><b>
Advanced Model Development &amp; Innovation</b></div><ul><li>
Design sophisticated credit underwriting models using modern ML algorithms (XGBoost, Random Forest, Neural Networks, Ensemble methods)</li><li>
Build predictive models leveraging alternative data sources including digital footprints, transactional data, behavioral analytics</li><li>
Implement real-time scoring engines and automated decision-making systems</li><li>
Develop champion-challenger frameworks for continuous model optimization</li></ul><div><b>
Alternative Data Integration &amp; Feature Engineering</b></div><ul><li>
Identify, evaluate, and integrate alternative data sources to enhance model performance</li><li>
Build models using psychometric data, device analytics, social network analysis, and open banking data</li><li>
Work with unstructured data sources including text, images, and behavioral patterns</li><li>
Implement automated feature selection and dimensionality reduction techniques</li></ul><div><b>
Machine Learning &amp; AI Implementation</b></div><ul><li>
Apply state-of-the-art ML techniques including deep learning, gradient boosting, and ensemble methods</li><li>
Implement explainable AI solutions to ensure model interpretability</li><li>
Develop automated machine learning pipelines for model training, validation, and deployment</li><li>
Explore and leverage generative AI technologies for innovative underwriting solutions</li></ul><div><b>
Team Leadership &amp; Strategic Direction</b></div><ul><li>
Lead and mentor a team of data scientists and analytics professionals</li><li>
Take end-to-end ownership of analytics projects from conception to production deployment</li><li>
Collaborate with cross-functional teams including product, engineering, and business stakeholders</li><li>
Drive analytics strategy and roadmap aligned with business objectives</li></ul><div><b>
Model Deployment &amp; Operations</b></div><ul><li>
Implement MLOps practices for streamlined model deployment, monitoring, and maintenance</li><li>
Collaborate with data engineering teams to ensure robust data pipelines and infrastructure</li><li>
Develop automated model monitoring systems and performance tracking dashboards</li><li>
Build A/B testing frameworks for model performance evaluation</li></ul><div><b>
Business Impact &amp; Insights</b></div><ul><li>
Analyze large and complex datasets to extract meaningful insights and trends</li><li>
Create clear and comprehensive reports, dashboards, and visualizations for stakeholders</li><li>
Present findings and recommendations to both technical and non-technical audiences</li></ul><div></div><div><b><br>
Required Qualifications</b></div><div><b>
Experience &amp; Domain Expertise</b></div><ul><li>
Minimum 10 years in advanced analytics with focus on credit underwriting in BFSI domain</li><li>
Proven track record in fintech/digital lending environments developing credit scorecards using modern ML</li><li>
Extensive experience with alternative data integration and non-traditional credit scoring methods</li><li>
Leadership experience managing teams of data scientists or analytics professionals</li></ul><div><b>
Technical Skills &amp; Programming</b></div><ul><li>
Advanced proficiency in Python, R, SQL, and statistical analysis tools</li><li>
Expertise in scikit-learn, XGBoost, TensorFlow, PyTorch, and advanced ML libraries</li><li>
Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP)</li><li>
Proficiency in data visualization tools like Tableau, Power BI, or similar platforms</li><li>
Knowledge of MLOps tools (MLflow, Docker, Kubernetes) for model operations</li></ul><div><b>
Advanced Analytics Expertise</b></div><ul><li>
Deep expertise in statistical modeling, machine learning algorithms, and predictive analytics</li><li>
Strong background in feature engineering, model selection, and hyperparameter optimization</li><li>
Experience with NLP techniques for processing unstructured data and text analytics</li><li>
Proficiency in experimental design, A/B testing, and causal inference techniques</li></ul><div><b>
Alternative Data &amp; Innovation</b></div><ul><li>
Proven experience with alternative data sources (digital, behavioral, psychometric, social media)</li><li>
Knowledge of open banking, API integrations, and real-time data processing</li><li>
Experience with computer vision, NLP, and unstructured data analysis</li><li>
Understanding of data privacy, ethical AI, and responsible lending practices</li></ul><div><b>
Leadership &amp; Communication</b></div><ul><li>
Excellent leadership skills with ability to inspire and develop technical teams</li><li>
Strong stakeholder management and cross-functional collaboration abilities</li><li>
Exceptional communication skills for presenting complex concepts to business audiences</li><li>
Self-driven and comfortable working in fast-paced startup environments</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Advanced degree (B.Tech/M.Tech) in Engineering, Computer Science, Mathematics, or Statistics</li><li>
Experience with embedded finance, digital-first lending platforms, or API-based financial services</li><li>
Knowledge of microservices architecture and modern software development practices</li><li>
Understanding of various lending products and fintech ecosystem dynamics</li></ul></div>

Lead - Analytics

The Cigna Group

<div><div><h3 class="jobSectionHeader"><b>ABOUT EVERNORTH:</b></h3><h3 class="jobSectionHeader"><b>
Evernorth</b><b>&#8480;</b><b> exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,</b><br>
<b>we solve the problems others don&rsquo;t, won&rsquo;t or can&rsquo;t.</b></h3><h3 class="jobSectionHeader"><b>
Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.</b></h3><h3 class="jobSectionHeader"><b>
We are always looking upward. And that starts with finding the right talent to help us get there.</b></h3></div><h3 class="jobSectionHeader"><b>
</b></h3><div><h3 class="jobSectionHeader"><b>
Section 2: Position Overview</b></h3><h3 class="jobSectionHeader"><b>
Provide a concise summary of the position, its purpose, and its importance within the company.</b></h3></div><div><h3 class="jobSectionHeader"><b>
Section 1: Job Title</b></h3><h3 class="jobSectionHeader"><b>
Clearly state the position&rsquo;s title to convey the role and level of responsibility.</b></h3></div><h3 class="jobSectionHeader"><b>
 </b><b>HIH &ndash; Data Science Lead Analyst</b></h3><h3 class="jobSectionHeader"><b>
Job Description</b></h3><h3 class="jobSectionHeader"><b>
Excited to grow your career?</b></h3><h3 class="jobSectionHeader"><b>
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!</b></h3><h3 class="jobSectionHeader"><b>
Our people make all the difference in our success.</b></h3><h3 class="jobSectionHeader"><b>
Do you have a passion for machine learning / artificial intelligence? Are you excited about using your skills to help individuals improve their health?</b></h3><h3 class="jobSectionHeader"><b>
Evernorth&rsquo;s Data Science Center of Excellence applies advanced Data Science (DS), Artificial Intelligence (AI) and Machine Learning (ML) to produce solutions that reduce customer health costs and improve outcomes and business processes. Using state of the art AI tools, DS platforms, ML libraries, and optimization tools, we leverage internal, external, online and offline data sources comprising clinical, provider &amp; Rx data, and behavioral/attitudinal data.</b></h3><h3 class="jobSectionHeader"><b>
Role Summary</b></h3><h3 class="jobSectionHeader"><b>
Using your knowledge of ML / AI, you will build technologies to generate descriptive and predictive insights on how we can better serve throughout their customer journey, with digital assets we have. Your work will require deep acquaintance with Evernorth&rsquo;s data, seeking to find ways to deliver value through advanced feature engineering. From your models, you will deliver actionable insights that can be incorporated into existing digital and marketing solutions as well as informing on new strategy. In addition to collaborating with Data Science Management and Business Analytics partners to establish strategic priorities, you will work closely with Data &amp; Engineering to deliver code that is robust and ready to scale.</b></h3><div><h3 class="jobSectionHeader"><b>
Section 3: Responsibilities</b></h3><h3 class="jobSectionHeader"><b>
Clearly outline the primary duties and tasks associated with the role. Use action verbs (i.e., lead, drive, analyze, assess, research, etc.) to convey expectations.</b></h3></div><h3 class="jobSectionHeader"><b>
&lt; &gt;Data acquisition, QC and exploratory analysis on transactional member dataCreate models using ML / AI techniques to predict risk and identify actionable insightsDeliver clean, reusable, and scalable codeWork closely with Data &amp; Engineering to deploy modelsPartner with senior team members on the latest analytic techniques, technologies, and methods</b></h3><div><h3 class="jobSectionHeader"><b>
Section 4: Qualifications</b></h3><h3 class="jobSectionHeader"><b>
Specify the skills, experience, and education required for the role. Differentiate between the &ldquo;must-haves&rdquo; and &ldquo;nice-to-haves&rdquo;.</b></h3><h3 class="jobSectionHeader"><b>
Required skills</b><b>: List the specific skills required for the job, including technical, leadership skills, and any industry-specific skills.</b></h3><h3 class="jobSectionHeader"><b>
Required Experience</b><b>: Clearly state any mandatory requirements, such as formal education, certifications, licenses, or specific years of experience.</b></h3><h3 class="jobSectionHeader"><b>
Desired Experience</b><b>: List any &ldquo;nice-to-have&rdquo; experience, including industry experience, exposure to specific technologies, certifications, etc.</b></h3></div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><h3 class="jobSectionHeader"><b>
Required Education</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;MS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience</b></h3><h3 class="jobSectionHeader"><b>
Required Skills</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;The ideal candidate for this role will have strong coding skills in Python, a passion for creating technology to improve the healthcare systems, and an attitude of creativity and continual learning.</b></h3><h3 class="jobSectionHeader"><b>
Required Experience</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;5-8 years of industry experience with Data Mining, Statistical Analysis and leading ML / AI methods; XGBoost, Light GBM, deep learning, reinforcement learning, optimization required5-8 years of experience with Python, PySpark and its data science librariesExcellent oral and written communication skills</b></h3><h3 class="jobSectionHeader"><b>
Desired Experience</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;Prior experience working in the healthcare industry, services ops or digital domainExperience with deploying predictive models into productionExperience working with business stakeholders</b></h3><h3 class="jobSectionHeader"><b>
</b></h3><div><h3 class="jobSectionHeader"><b>
These two sections will be &ldquo;standardized&rdquo; in the JD template and made not editable.</b></h3></div><h3 class="jobSectionHeader"><b>
Location &amp; Hours of Work</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;Full-time position, working 40 hours per week. Expected overlap with US hours as appropriatePrimarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)</b><b>Equal Opportunity Statement
</b></h3><h3 class="jobSectionHeader"><b><i>Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.</i></b></h3><p></p><p><b>
About Evernorth Health Services</b></p><div><div><div><div><div><div><div><p>
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.</p></div></div></div></div></div></div></div></div>

HIH – Data Science Lead Analyst

Yugn

<p><b>Role Overview</b></p><p>We are seeking experienced and visionary Data Scientists to lead the development and deployment of advanced AI/ML solutions that directly impact business performance. In this strategic role, you will drive high-value projects focused on cost optimization, revenue growth, and operational excellence. You&rsquo;ll serve as a key contributor to our foundational AI capabilities while championing responsible, ethical AI practices.</p><p>As a trusted advisor to leadership, you will shape the organization&rsquo;s AI strategy and play a pivotal role in transforming data into actionable intelligence.</p><p><b>Key Responsibilities</b></p><p>Deliver cutting-edge AI/ML models and tools to accelerate strategic business objectives&mdash;such as cost savings, process optimization, and new revenue generation</p><p>Lead the development of advanced AI solutions across domains including time series forecasting, reinforcement learning, graph-based algorithms, optimization, and conversational AI</p><p>Contribute to the Foundation Model Task Force, helping shape scalable AI architectures leveraged across multiple business functions</p><p>Translate complex AI concepts into business strategies, ensuring initiatives are outcome-focused and aligned with organizational goals</p><p>Collaborate cross-functionally with product leaders, domain experts, engineers, and business stakeholders to integrate AI into key decision workflows</p><p>Advocate for responsible and ethical AI practices, ensuring compliance with data governance, regulatory standards, and model transparency</p><p>Stay on the leading edge of AI innovation by continuously evaluating emerging trends, frameworks, and technologies</p><p>Define and manage key performance indicators (KPIs) to track the impact and success of AI/ML initiatives</p><p>Promote a culture of innovation, technical rigor, and continuous improvement within the AI team</p><p><b>Requirements</b></p><p>4-8 years of experience in data science or machine learning roles, with a track record of leading complex, high-impact projects</p><p><b>Deep expertise in AI/ML techniques including:</b></p><p>Time series forecasting</p><p>Reinforcement learning</p><p>Optimization algorithms</p><p>Speech and conversational AI (e.g., LLMs, NLP, ASR)</p><p>Proficiency in Python, R, or similar programming languages; experience with data visualization and analytical tooling</p><p>Proven ability to drive measurable business results through AI-driven insights</p><p>Strong leadership, communication, and stakeholder management skills</p><p>Strategic mindset with the ability to align technical initiatives with business goals</p><p>Advanced degree (Master&rsquo;s or PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field</p><p>Candidates with CFA certification &amp; graduates &amp; post-graduates from premium institutes(IIM, IIT, etc )would be more preferred</p><p><b>Preferred Qualifications</b></p><p>Experience in developing or fine-tuning foundation models or LLMs</p><p>Familiarity with AI governance and regulatory compliance frameworks</p><p>Exposure to production-grade ML deployment and MLOps practices</p><p>Prior experience in finance, insurance, or regulated industries</p><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;2,000,000.00 - &#8377;5,000,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Sr. Data Scientist

Virtusa

<div>The AI Lead Developer is responsible for architecting designing and developing advanced AI ML solutions that power intelligent applications and data driven capabilities This role leads the end to end lifecycle of AI development including research model design training deployment monitoring and optimization while guiding a team of engineers and collaborating closely with product data and business stakeholders The AI Lead Developer ensures scalable ethical and production grade AI implementations
<br>
Key Responsibilities
<br>
AI ML Architecture Development
<br>
Architect design and develop machine learning and deep learning models for various use cases NLP CV LLMs recommendation systems predictive analytics etc
<br>
Implement end to end AI pipelines including data processing feature engineering model training evaluation and deployment
<br>
Build scalable and efficient model inference systems using microservices APIs or distributed frameworks
<br>
Optimize models for performance accuracy fairness and cost efficiency
<br>
Technical Leadership
<br>
Lead a team of AI ML engineers and data scientists oversee technical direction and code quality
<br>
Provide mentorship conduct code reviews and establish best practices for AI development
<br>
Collaborate with architects and tech leadership to define AI strategy standards and roadmaps
<br>
MLOps Deployment
<br>
Implement ML operationalization pipelines including model versioning CI CD for ML automated retraining and monitoring
<br>
Work with DevOps and Cloud teams to deploy models to AWS Azure or GCP using tools like SageMaker Vertex AI or Azure ML
<br>
Ensure robust monitoring of model drift data drift performance metrics and reliability
<br>
Research Innovation
<br>
Evaluate and incorporate emerging AI technologies transformers LLMs Diffusion models vector databases RAG etc
<br>
Conduct experimentation and POCs to determine feasibility of new AI solutions
<br>
Stay updated with cutting edge AI research frameworks and best practices
<br>
Collaboration Stakeholder Engagement
<br>
Work closely with product managers data teams and business stakeholders to define AI requirements and translate them into technical solutions
<br>
Communicate complex AI concepts in clear actionable terms for non technical audiences
<br>
Drive AI adoption and provide thought leadership across the organization
<br>
Required Skills Qualifications
<br>
Bachelor s or Master s degree in Computer Science Data Science AI ML or equivalent field
<br>
6 12 years of software AI engineering experience including
<br>
Strong hands on experience building ML DL models using Python TensorFlow PyTorch Scikit learn Transformers or similar frameworks
<br>
Proven experience in designing and deploying AI solutions at scale
<br>
Strong expertise in
<br>
NLP LLMs Computer Vision or Predictive Modeling based on role focus
<br>
Data engineering concepts ETL data pipelines data quality
<br>
Experience with cloud based ML platforms AWS Azure Google Cloud
<br>
Proficiency with MLOps tools MLflow Kubeflow Airflow Docker CI CD
<br>
Strong understanding of distributed systems microservices and API development
<br>
Excellent communication and leadership skills<div><p><b>
About Virtusa</b></p>
<p>Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.</p>
<p>Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.</p>
<p>Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</p></div></div><p></p>

AI ML

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