lead machine learning engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>Lead Machine Learning Engineer</b></p><p><b><br>
Experience Range:</b> 10 - 15 years</p>
<p><b>
Location:</b> Bengaluru, India</p><br>
<p></p>
<div>
TCS has always been in the spotlight for being adept in &ldquo;the next big technologies&rdquo;. What we can offer you is a space to explore varied technologies and quench your techie soul.</div><br>
<div></div>
<p></p>
<p><b>Key Responsibilities</b></p>
<ul>
<li>Collaborate with product managers, stakeholders, and engineering teams to define hypotheses and gather requirements.</li>
<li>Design, develop, and deploy robust, scalable machine learning models for production applications.</li>
<li>Research and integrate state-of-the-art GenAI models (e.g. GPT, T5, BERT, diffusion models, GANs) into business use cases.</li>
<li>Drive innovation in areas such as conversational AI, media synthesis, personalisation, and agentic systems.</li>
<li>Fine-tune and customise foundation models for specific domains and tasks.</li>
<li>Implement best practices for GenAI safety, alignment, and ethical deployment.</li>
<li>Stay current with GenAI research, open-source models, and industry trends.</li>
<li>Lead ML components from ideation to deployment, collaborating across distributed teams.</li>
<li>Design frameworks for agent development and cross-agent communication.</li>
<li>Collaborate with software engineers, data scientists, and product managers to define success metrics.</li>
<li>Review code, provide feedback, and mentor junior team members.</li>
<li>Communicate technical concepts and project updates to stakeholders across varying technical backgrounds.</li>
</ul>
<p></p><div><b>Basic Qualifications</b></div>
<ul>
<li>Minimum 10 years of experience in machine learning engineering or a related role.</li>
<li>Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).</li>
<li>Experience with supervised fine-tuning (SFT), parameter-efficient fine-tuning (PEFT), model evaluation, and data preparation.</li>
<li>Strong understanding of MLOps, model monitoring, retraining, and guard railing.</li>
<li>Excellent written and verbal communication skills.</li>
<li>Ability to work independently and manage project-based goals across time zones.</li>
</ul>
<p></p><p><b>Preferred Qualifications</b></p>
<ul>
<li>Experience with agentic architectures and multi-agent systems.</li>
<li>Familiarity with GenAI safety frameworks and ethical deployment strategies.</li>
</ul></div></div></div><div><div><div><b>Location</b></div>
<div>Bengaluru</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Lead</div>
</div><div><div><b>Job Id</b></div>
<div>375310</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Machine Learning | Python</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Lead Machine Learning Engineer

Elanco

Education : EQUIVALENTEXPERIENCE
<br>
<div><p><b>At Elanco (NYSE: ELAN) &ndash; it all starts with animals!</b></p><p><b>
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. </b><b>At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose &ndash; all to Go Beyond for Animals, Customers, Society and Our People.</b></p><p><b>
At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you&rsquo;ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.</b></p><p><b>
Making animals&rsquo; lives better makes life better &ndash; join our team today!</b></p><p></p><div><b>
Your Role: </b>Lead Machine Learning Engineer</div><div></div><div><p>
As a Machine Learning (ML) Engineer at Elanco, you will be a key member of our engineering team, specializing in the end-to-end lifecycle of custom and third-party (including open source) machine learning models. You will translate complex business problems into scalable, production-ready AI solutions. This role is focused on the practical application of machine learning, requiring a strong blend of software engineering discipline and deep ML expertise to design, build, and deploy models that deliver real-world value.</p></div><p><b>
Your Responsibilities:
</b></p><ul><li><p><b>Custom Model Development:</b> Design, build, and train bespoke ML models tailored to specific business needs, from initial prototype to full implementation.</p></li><li><p><b>
Third-Party Model Utilization:</b> Identify, tune and deploy third-party ML models, covering proprietary and open-source models.</p></li><li><p><b>
Production Deployment:</b> Manage the deployment of ML models into our production environments, ensuring they are scalable, reliable, and performant.</p></li><li><p><b>
MLOps and Automation:</b> Build and maintain robust MLOps pipelines for Continuous Integration/Continuous Delivery (CI/CD), model monitoring, and automated retraining.</p></li><li><p><b>
Data Pipeline Construction:</b> Collaborate with data engineers/stewards to build and optimize data pipelines that feed ML models, ensuring data quality and efficient processing for both training and inference.</p></li><li><p><b>
Cross-Functional Collaboration:</b> Work closely with data scientists, product managers, and software engineers to define requirements, integrate models into applications, and deliver impactful features.</p></li><li><p><b>
Code and System Quality:</b> Write clean, maintainable, and well-tested production-grade code. Uphold high software engineering standards across all projects.</p></li><li><p><b>
Performance Tuning:</b> Monitor and analyze model performance in production, identifying opportunities for optimization and iteration.</p></li></ul><p></p><p><b><br>
What You Need to Succeed (minimum qualifications):</b></p><ul><li><p><b>
Educational Background:</b> A Bachelor&rsquo;s or master&rsquo;s degree in computer science, Software Engineering, Artificial Intelligence, or a related quantitative field.</p></li><li><p><b>
Programming Excellence:</b> Advanced proficiency in Python and deep experience with core ML/data science libraries (e.g., PyTorch, TensorFlow, scikit-learn, pandas, NumPy).</p></li><li><p><b>
Software Engineering Fundamentals:</b> Strong foundation in software engineering principles, including data structures, algorithms, testing, and version control (Git).</p></li></ul><p><b>
What will give you a competitive edge (preferred qualifications):</b></p><ul><li><p><b>
ML Model Deployment:</b> Proven, hands-on experience deploying machine learning models into a production environment.</p></li><li><p><b>
MLOps Tooling:</b> Experience with MLOps tools and frameworks and containerisation technologies (Docker, Kubernetes).</p></li><li><p><b>
DevSecOps:</b> Proven experience with relevant DevSecOps concepts and tooling, including Continuous Integration/Continuous Delivery (CI/CD), Git SCM, Containerisation (Docker, Kubernetes), Infrastructure-as-Code (HashiCorp Terraform).</p></li><li><p><b>
Problem-Solving:</b> A pragmatic and results-oriented approach to problem-solving, with the ability to translate ambiguous requirements into concrete technical solutions.</p></li><li><p><b>
Communication:</b> Excellent communication skills, capable of articulating complex technical decisions and outcomes to both technical and non-technical stakeholders.</p></li></ul><p><b>
Additional Information:</b></p><ul><li><p>
Travel: 0%</p></li><li><p>
Location: India, Bangalore</p></li></ul><p>
Don&rsquo;t meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!</p><p></p><p>
Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status</p></div>

Lead Machine learning engineer

<div><p><b>Avant de postuler &agrave; un emploi, s&eacute;lectionnez votre langue de pr&eacute;f&eacute;rence parmi les options disponibles en haut &agrave; droite de cette page.</b></p><p></p><p>
D&eacute;couvrez votre prochaine opportunit&eacute; au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunit&eacute;s innovantes, d&eacute;couvrez notre culture enrichissante et travaillez avec des &eacute;quipes talentueuses qui vous poussent &agrave; vous d&eacute;velopper chaque jour. Nous savons ce qu&rsquo;il faut faire pour diriger UPS vers l'avenir : des personnes passionn&eacute;es dot&eacute;es d&rsquo;une combinaison unique de comp&eacute;tences. Si vous avez les qualit&eacute;s, de la motivation, de l'autonomie ou le leadership pour diriger des &eacute;quipes, il existe des postes adapt&eacute;s &agrave; vos aspirations et &agrave; vos comp&eacute;tences d'aujourd'hui et de demain.</p><p></p><p><b>
Fiche de poste :</b></p><p></p><p><b>
Job Summary</b><br>
This position provides leadership in full systems life cycle management (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.) to ensure delivery is on time and within budget. He/She directs component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements and ensure compliance. This position develops and leads AD project activities and integrations. He/She guides teams to ensure effective communication and achievement of objectives. This position researches and supports the integration of emerging technologies. He/She provides knowledge and support for applications&rsquo; development, integration, and maintenance. This position leads junior team members with project related activities and tasks. He/She guides and influences department and project teams. This position facilitates collaboration with stakeholders.<br>
<br>
<b>Responsibilities:</b></p><ul><li>
Leads systems analysis and design.</li><li>
Leads design and development of applications.</li><li>
Develops and ensures creation of application documents.
</li><li>Defines and produces integration builds.</li><li>
Monitors emerging technology trends.</li><li>
Leads maintenance and support.</li></ul><p></p><p><b><br>
Qualifications:</b></p><p></p><ul><li>
Bachelor&rsquo;s Degree or International equivalent</li><li>
Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred</li></ul><p><b><br>
Type de contrat:</b></p>
en CDI<p></p><p><i>
Chez UPS, &eacute;galit&eacute; des chances, traitement &eacute;quitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attach&eacute;s.</i></p></div><p></p>

Egen Solutions Inc

<div><div><div><b>Job Description :</b></div><div></div><div><br>
We are seeking a highly motivated and experienced ML Manager/Lead Data Scientist to join our growing ML/GenAI team.</div><div></div><div><br>
You will play a key role in designing, developing and productionalizing ML/GenAI applications by evaluating models, training and/or fine tuning them. As a lead, you require a deep understanding of both machine learning algorithms and software architecture. You need to take ownership of projects from conception to deployment, collaborating with engineers and stakeholders to ensure successful project delivery.</div></div><div><div><h3 class="jobSectionHeader"><b>
What we're looking for:</b></h3><ul><ul><li>
At least 5 years of experience in designing &amp; building ML/AI applications for customer and deploying them into production</li><li>
At least 8 years of Software engineering experience in building Secure, scalable and performant applications for customers.</li><li>
At least 2 years of experience leading and mentoring ML/data science teams( 4+ team members)</li><li>
Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.</li><li>
Design, develop, and operationalize existing ML models by fine tuning, personalizing it.</li><li>
Evaluate machine learning models and perform necessary tuning.</li><li>
Develop prompts that instruct LLM to generate relevant and accurate responses.</li><li>
Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.</li><li>
Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance.</li><li>
Lead the end-to-end design and architecture of scalable, reliable, and cost-effective Generative AI solutions. This includes designing RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and model fine-tuning strategies.</li><li>
Hands on customer experience with RAG solution or fine tuning of LLM model.</li><li>
Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools.</li><li>
Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment.</li><li>
Act as the senior-most developer, writing clean, high-quality, and scalable code. This includes building core components for prompt engineering, vector search, data processing, model evaluation, and inference serving.</li><li>
Proven experience building and deploying machine learning models in production environments for real life applications</li><li>
Good understanding of natural language processing, computer vision or other deep learning techniques.</li><li>
Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain).</li><li>
Familiarity with Google Cloud or any other Cloud Platform and its machine learning services.</li><li>
Excellent communication, collaboration, and problem-solving skills.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Good to Have
</b></h3><ul><ul><li>Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.</li><li>
Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure.</li><li>
Experience with AutoML and vision techniques.</li><li>
Master&rsquo;s degree in statistics, machine learning or related fields.</li></ul></ul></div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div><p></p>

Engineering Manager-AI/ML

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

Hudhud Maps

<div><p>As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.</p><p><b>
Key Responsibilities:</b></p>
<ul><li><b>Algorithm Development:</b> Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.</li><li><b>
Data Processing and Analysis:</b> Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.</li><li><b>
Model Training and Evaluation:</b> Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.</li><li><b>
Integration and Deployment:</b> Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.</li><li><b>
Performance Optimization:</b> Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.</li><li><b>
Research and Innovation:</b> Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.</li></ul><p><b>
Qualifications:</b></p>
<ul><li>Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.</li><li>
 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.</li><li>
Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.</li><li>
Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.</li><li>
Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.</li><li>
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.</li><li>
Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.</li></ul></div>

Senior Machine Learning Engineer

Business Optima

<p><b>Job Title:</b> AI Lead Engineer</p><p><b>Experience:</b> Minimum 2 years</p><p><b>Location:</b> Remote</p><p><b>Job Description:</b></p><p>We are seeking a skilled AI Lead Engineer to drive the design, development, and deployment of AI solutions that align with our strategic business objectives. The ideal candidate will lead AI projects, collaborate with cross-functional teams, and apply advanced AI technologies to solve complex problems.</p><p><b>Key Responsibilities:</b></p><ul><li>Lead the development and implementation of AI models and algorithms.</li><li>Manage AI solutions lifecycle including design, testing, deployment, and monitoring.</li><li>Collaborate with data scientists, software engineers, and product teams.</li><li>Develop scalable AI infrastructure and oversee AI system architecture.</li><li>Evaluate and integrate new AI technologies and frameworks.</li><li>Ensure AI solutions are optimized for performance and scalability.</li><li>Mentor junior team members and foster a collaborative environment.</li><li>Stay updated with emerging AI trends and apply best practices.</li></ul><p><b>Qualifications:</b></p><ul><li>Minimum 2 years of professional experience in AI engineering or related roles.</li><li>Bachelor&rsquo;s or Master's degree in Computer Science, AI, Machine Learning, Data Science, or related field.</li></ul><p><b>Skills Required:</b></p><ul><li>Proficiency in Python, React js, AI Agents, and AI/ML libraries (TensorFlow, PyTorch, Keras).</li><li>Experience with machine learning, deep learning, NLP, and computer vision.</li><li>Knowledge of AI model deployment and MLOps practices.</li><li>Strong understanding of data structures, algorithms, and software engineering principles.</li><li>Experience with cloud platforms (AWS, Azure, GCP) and AI infrastructure.</li><li>Familiarity with version control tools like Git.</li><li>Excellent problem-solving, communication, and team leadership skills.</li></ul><p>Job Type: Full-time</p><p>Pay: Up to &#8377;40,000.00 per month</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Work Location: Remote</p><p>Application Deadline: 10/10/2025</p>

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