python engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Roles &amp; Responsibilities
</div><div>Job Title: Data Engineer -ML</div><br>
<div><br>
</div><div>Job Description:
</div><div>We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and
</div><div>understanding of AL/ML models to implement AL/ML models in OnPrem and Cloud environment.
</div><div>In this role, you will be responsible for implementing AL/ML Models in different environments leveraging
</div><div>Openshift/Kubernetics.</div><br>
<div><br>
</div><div>Responsibilities:
</div><div>Work with data scientists/data engineers to translate prototypes and theoretical models into functional,
</div><div>production ready code.
</div><div>Collaborate with product and engineering team to implement AI/ML models using PySpark.
</div><div>Understanding of AI/ML and large language models (LLMs).
</div><div>Work on productionalize the AL/ML model in Hadoop environment.
</div><div>Troubleshoot AI/ML Models post implementation to resolve issue raised by users.
</div><div>Monitor model performance and continuously improve efficiency, accuracy, and user experience.</div><br>
<div><br>
</div><div>Qualifications:
</div><div>Strong experience in PySpark and Python to integrate with AI/ML Models.
</div><div>Understanding of AI/ML Models and how they interface with OnPrem and Cloud environments.
</div><div>Familiarity with ML Ops/LLM Ops and distributed systems.
</div><div>Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP.
</div><div>Solid understanding of system design patterns, scalability, observability, and performance tuning.
</div><div>Strong analytical and problem-solving skills.
</div><div>Passion for exploring and building with emerging technologies.</div><div></div><div><br>
</div>
<div></div><br>
<br>
<div>Salary Range: $125,000 to $140,000 per year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Irving, TX</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>416708</div>
</div><div><div><b>Desired Skills</b></div>
<div>Machine Learning</div>
</div><div><div><b>Salary Range</b></div>
<div>$125,000-$140,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

ML Engineer

MANTECH

<div><p>MANTECH seeks a motivated, career, and customer-oriented <b>AI Engineer</b> for a new initiative. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across a cloud, edge, and classified operational environment.</p><p>
The <b>AI Engineer</b> supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern Hub-and-Spoke architecture, supporting mission applications and enterprise AI governance.</p><p></p><p><b>
Responsibilities include but are not limited to:</b></p><ul><li>
Design, develop, and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps).</li><li>
Implement and deploy Retrieval-Augmented Generation (RAG) architectures in production.</li><li>
Build and maintain scalable AI orchestration frameworks and production-ready AI systems.</li><li>
Manage and optimize Kubernetes-based AI deployments, focusing on GPU inference optimization.</li><li>
Conduct core Python development for AI systems and integrate OpenAI-compatible APIs into mission solutions.</li><li>
Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel.</li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li>
Must possess 7 or more years of experience in AI/ML production engineering, development, or related roles. Relevant additional experience will be considered in lieu of degree.</li><li>
Proven proficiency in Python development and experience with AI/ML libraries like TensorFlow or PyTorch.</li><li>
In-depth knowledge of MLOps/LLMOps principles and full machine learning lifecycle management.</li><li>
Experience with Kubernetes-based AI deployments and GPU optimization techniques.</li><li>
Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center).</li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering or a related field.</li><li>
Experience with LangGraph, Semantic Kernel, and agentic AI systems.</li><li>
Familiarity with Ray, NVIDIA GPU ecosystems, or Vector databases.</li><li>
Advanced degree (Master's or PhD) in a technical field.</li></ul><p></p><p><b>
Clearance Requirements:</b></p><ul><li>
TS/SCI with the ability to obtain and maintain a polygraph</li></ul><p></p><p><b>
Physical Requirements:</b></p><ul><li>
The person in this position must be able to remain in a stationary position 50% of the time.</li><li>
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.</li><li>
Constantly operates a computer and other office productivity machinery.</li></ul></div><p></p>

AI Engineer

Inherent Technologies

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Seeking a
 <strong>
  hands-on AI Engineer/Developer
 </strong>
 to rapidly prototype and deliver AI-driven solutions across investment, research, and trading functions. This role is ideal for someone who can bridge
 <strong>
  financial domain knowledge with applied AI/ML development
 </strong>
 , building proof-of-concepts that can evolve into production-grade tools supporting investment decision-making.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Design and develop
 <strong>
  AI/ML prototypes
 </strong>
 using Python to support investment research, portfolio analytics, and trading insights
 <br/>
 <br/>
 Build and test
 <strong>
  LLM-based and data-driven use cases
 </strong>
 (e.g., research summarization, signal generation, document analysis, automation)
 <br/>
 <br/>
 Work closely with
 <strong>
  investment professionals, research teams, and data engineers
 </strong>
 to translate business needs into functional AI solutions
 <br/>
 <br/>
 Develop and integrate
 <strong>
  data pipelines, APIs, and analytical models
 </strong>
 to support rapid experimentation
 <br/>
 <br/>
 Leverage tools such as
 <strong>
  Jupyter, Pandas, NumPy, LangChain, and cloud AI services (AWS/Azure/OpenAI)
  <br/>
  <br/>
 </strong>
 Perform
 <strong>
  data exploration, feature engineering, and model validation
 </strong>
 on financial datasets
 <br/>
 <br/>
 Iterate quickly on prototypes, incorporating feedback to refine models and outputs
 <br/>
 <br/>
 Ensure solutions consider
 <strong>
  data security, governance, and compliance
 </strong>
 within a financial services environment
 <br/>
 <br/>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 10+ years of experience in
 <strong>
  Python development
 </strong>
 with strong hands-on coding ability
 <br/>
 <br/>
 Experience building
 <strong>
  AI/ML or LLM-based applications and prototypes
  <br/>
  <br/>
 </strong>
 Exposure to
 <strong>
  financial services, asset management, trading, or investment research
  <br/>
  <br/>
 </strong>
 Strong experience with
 <strong>
  data analysis libraries
 </strong>
 (Pandas, NumPy) and working with structured/unstructured data
 <br/>
 <br/>
 Familiarity with
 <strong>
  APIs, microservices, and cloud platforms (AWS, Azure, or GCP)
  <br/>
  <br/>
 </strong>
 Ability to work in a
 <strong>
  fast-paced, iterative environment
 </strong>
 with direct interaction with business stakeholders
 <br/>
 <br/>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 Experience with
 <strong>
  LLM frameworks
 </strong>
 (LangChain, RAG architectures, vector databases)
 <br/>
 <br/>
 Knowledge of
 <strong>
  financial data sets, market data, or portfolio analytics
  <br/>
  <br/>
 </strong>
 Experience prototyping tools for
 <strong>
  quant research, credit analysis, or trading workflows
  <br/>
  <br/>
 </strong>
 Familiarity with
 <strong>
  Snowflake, Databricks, or modern data platforms
  <br/>
  <br/>
 </strong>
 <strong>
  What Success Looks Like
  <br/>
  <br/>
 </strong>
 Rapid delivery of
 <strong>
  high-impact AI prototypes
 </strong>
 that demonstrate clear business value
 <br/>
 <br/>
 Strong collaboration with front-office teams to
 <strong>
  solve real investment and research problems
  <br/>
  <br/>
 </strong>
 Ability to evolve prototypes into scalable solutions in partnership with engineering teams
</div>


Python Developer/AI Engineer

Glint Tech Solutions

<div><p><b>Overview</b></p><p>
We are seeking a Data Engineer with strong experience in Python and React to build and maintain scalable data-driven applications and platforms in the healthcare domain.</p><p><b>
What You'll Do</b></p><ul><li>
Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend)</li><li>
Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare workflows</li><li>
Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets</li><li>
Work with healthcare data systems including EHR integrations and healthcare interoperability platforms</li><li>
Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams</li><li>
Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable)</li><li>
Design and optimize data models, warehouses, and data processing workflows</li><li>
Translate healthcare operational and reporting requirements into scalable data solutions</li><li>
Ensure applications and data platforms meet security, privacy, and compliance requirements (HIPAA-aligned environments)</li><li>
Monitor, debug, optimize, and maintain production data systems and applications</li><li>
Collaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineers</li></ul><p><b>
Required Skills &amp; Experience</b></p><ul><li>
Strong hands-on experience with Python for data engineering and backend development</li><li>
Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.)</li><li>
Basic to strong experience with React.js frontend development</li><li>
Experience building scalable ETL/ELT pipelines and production-grade data applications</li><li>
Strong understanding of REST APIs and system integrations</li><li>
Experience working with relational and/or NoSQL databases</li><li>
Experience with data warehousing, data modeling, and large-scale data processing</li><li>
Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred)</li><li>
Ability to work in ambiguous, real-world problem spaces</li><li>
Strong communication skills with technical and non-technical stakeholders</li><li>
Bachelor's degree in Computer Science, Engineering, or equivalent experience</li></ul><p><b>
Preferred Experience</b></p><ul><li>
Prior experience in healthcare technology or healthcare systems</li><li>
Familiarity with HL7, FHIR, or EHR systems (e.g., Epic, Cerner)</li><li>
Experience working with healthcare workflows (clinical, operational, or administrative systems)</li><li>
Exposure to regulated environments (HIPAA, security-sensitive systems)</li><li>
Experience with big data technologies and distributed processing systems</li><li>
Experience building analytics dashboards or data visualization platforms</li><li>
Experience working with enterprise-scale data platforms and pipelines</li></ul></div>

Data Engineer with Python and React - Remote

EPAM Systems

<div><p>We're looking for a <b>Senior AI Engineer (Python</b>) to join our team in Doha, Qatar, in an onsite working mode.</p><p>
This role offers the opportunity to work at the forefront of AI-driven software engineering, building scalable, production-ready AI solutions and transforming development processes to an AI spec-driven model. You will design and implement architectures for high-performance AI systems, optimize operational efficiency, and contribute to building and hardening agentic workflows. You will collaborate with global engineering teams to enhance standards, security, and reliability while driving innovation across AI-enabled development workflows.</p><p><b>
Responsibilities</b></p><ul><li>
Design and deploy token-efficient AI search and retrieval architectures optimized for relevance and latency
</li><li>Define, evolve and operationalize AI specifications and templates for feature, architecture, code, test and deployment automation
</li><li>Develop metrics and tools to measure AI-driven development efficiency, quality and accuracy
</li><li>Build and productionize end-to-end pipelines including embeddings, vector stores, retrieval frameworks, prompt engineering and LLM integrations
</li><li>Create and strengthen agentic systems to orchestrate multi-step agent behaviors for engineering workflows
</li><li>Implement operational reliability and observability frameworks including monitoring, CI/CD pipelines, version management and reproducible deployments
</li><li>Coach and mentor engineering and product teams, review designs and elevate AI engineering practices
</li><li>Establish security guardrails, input/output validation and safety mechanisms for robust AI solutions
</li></ul><p><b>Requirements</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering or related field
</li><li>4+ years of experience building production-grade AI systems or 2+ years focusing on LLM/RAG solutions
</li><li>Proven experience with Retrieval-Augmented Generation (RAG) patterns, embeddings and vector databases
</li><li>Experience integrating with commercial and self-hosted LLM models
</li><li>Hands-on experience with AI agent frameworks such as LangChain or equivalent
</li><li>Strong backend engineering skills with Python as primary language and intermediate Java proficiency
</li><li>Experience with REST/gRPC APIs, containerized deployments and Kubernetes orchestration
</li><li>Familiarity with cloud services and infrastructure automation tools such as Ansible
</li><li>Strong knowledge of CI/CD processes applied to models, prompts and testing for AI-driven workflows
</li><li>Understanding of embeddings, semantic search and large-scale vector indexing
</li><li>Awareness of AI productivity tools such as GitHub Copilot, GitLab Duo or similar</li></ul><p><b>
We offer</b></p><ul><li>
Private healthcare and life insurance</li><li>
End of service gratuity</li><li>
Annual air travel tickets for expatriates</li><li>
Corporate Programs including Employee Referral Program with rewards</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li></ul></div>

Senior AI Engineer (Python)

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.</li>
<li>5 years of experience programming in Python.</li>
<li>Experience with training machine learning models.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>PhD in Computer Science or equivalent field.</li>
<li>5 years of experience with data structures/algorithms.</li>
<li>Experience publishing in venues (e.g., NeurIPS, ICML, COLT, ICLR) or contributing to open-source projects related to ML.</li>
<li>Experience with ML frameworks (JAX, PyTorch) for large-scale model training.</li>
<li>Experience applying ML research to generative models, specifically in areas of post-training Gemini models.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p></p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Prototype and test fundamental algorithmic approaches. Write and test product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) and bring solutions into production environments<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Design and implement solutions in one or more specialized ML areas such as reinforcement learning, optimization, privacy, and game theory.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer, Foundational ML Research

Penlink

<div>
 Penlink is a technology company bringing clarity to complex data for people who need it now. We partner with law enforcement agencies across the United States, offering a software solution to manage data and aid investigators solving crimes. It sounds like a lot of data and analytics, but really, it&rsquo;s about improving the world and keeping safe the places we call home.
 <br/>
 <br/>
 We focus on creating products that positively impact our communities and being "in the mission" and less about the laidback culture and amazing benefits &ndash; even though we offer those too. With our get it done attitude and focused mission we are growing at an unprecedented rate and are therefore seeking an AI Engineer to design, build, and ship AI-powered features in production. You&rsquo;ll work across the stack from prompt design and model integration to evaluation, deployment, and optimization. You&rsquo;ll partner closely with product, design, and engineering to turn business needs into reliable AI systems.
 <br/>
 <br/>
 This role is a great fit if you enjoy working at the intersection of applied machine learning and product engineering, and you&rsquo;re comfortable iterating in a space where the tools and best practices are still evolving quickly.
 <br/>
 <br/>
 <strong>
  Your Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and implement AI-powered features and applications
  </li>
  <li>
   Research, fine-tune, and deploy machine learning and large language models to support business and product initiatives
  </li>
  <li>
   Integrate AI models into existing applications and backend systems through APIs and scalable architectures
  </li>
  <li>
   Build and maintain data pipelines, including collecting, cleaning, preparing, and validating datasets for model training and evaluation
  </li>
  <li>
   Monitor, evaluate, and maintain model performance through testing, benchmarking, and performance metrics
  </li>
  <li>
   Optimize AI systems for scalability, latency, reliability, and cost efficiency
  </li>
  <li>
   Collaborate cross-functionally with Product, Design, and Engineering teams to translate business needs into practical AI-driven solutions
  </li>
  <li>
   Contribute to continuous improvement efforts surrounding AI development processes, tooling, and best practices
  </li>
  <li>
   Communicate AI capabilities, limitations, and recommendations clearly to both technical and non-technical stakeholders
  </li>
  <li>
   Promote responsible AI practices by considering model bias, ethical implications, and system transparency throughout development
   <br/>
   <br/>
  </li>
 </ul>
 Requirements:
 <br/>
 <br/>
 <strong>
  Your Competencies &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of professional software engineering experience, including hands-on experience building and deploying production AI or machine learning systems
  </li>
  <li>
   Demonstrated experience delivering at least one AI-powered product or feature to end users in a production environment
  </li>
  <li>
   Strong programming skills, particularly in Python
  </li>
  <li>
   Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or JAX
  </li>
  <li>
   Familiarity with large language model ecosystems and tools including prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) pipelines
  </li>
  <li>
   Experience fine-tuning and evaluating machine learning or large language models
  </li>
  <li>
   Knowledge of cloud platforms and deploying AI/ML solutions within scalable environments
  </li>
  <li>
   Strong analytical and problem-solving skills with the ability to navigate ambiguity and rapidly evolving technologies
  </li>
  <li>
   Excellent written and verbal communication skills, including the ability to explain AI concepts and model behavior to non-technical audiences
  </li>
  <li>
   Understanding of AI limitations, bias mitigation, and ethical considerations related to machine learning systems
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  This position currently follows a hybrid schedule requiring two days per week in our Lincoln, Nebraska office. Onsite requirements may be adjusted based on business needs and company or departmental policy.
 </strong>
</div>


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