machine learning developer

Blue Ocean Systems Infotech Pvt. Ltd.

Hiring: Senior Qt Developer &ndash; Machine Learning &amp; 3D ImagingLocation: [Navi Mumbai] Type: Full-timeWe&rsquo;re looking for a Senior Qt Developer with hands-on experience in Machine Learning and 3D image processing to join our advanced technology team.Responsibilities:<ul><li>Design and develop high-performance Qt-based applications</li><li>Integrate machine learning models into interactive UI workflows</li><li>Work on 3D image visualization, manipulation, and rendering</li><li>Collaborate with cross-functional teams including data scientists and hardware engineers</li><li>Optimize performance across platforms and ensure robust SDLC practices</li></ul>Requirements:<ul><li>5+ years of experience in Qt development</li><li>Strong proficiency in C++, Python, and Qt frameworks</li><li>Experience with machine learning workflows and 3D image projects</li><li>Familiarity with OpenGL, VTK, or similar 3D visualization libraries</li><li>Solid understanding of SDLC methodologies</li><li>Exposure to Linux environments preferred</li></ul>If you&rsquo;re passionate about building intelligent, visually rich applications, we&rsquo;d love to hear from you!Share your profile at Kshama.raj@blueocean.systemsFor queries, contact: +91 9833964181Job Types: Full-time, PermanentWork Location: In person

Sr. QT Developer

Aapna Infotheek Pvt. Ltd.

<div></div><div><div><div><h3 class="jobSectionHeader">Junior Python Developer &ndash; AI/ML</h3>
</div></div><div><div><div><div><div><div>Position &ndash; Junior Python Developer &ndash; AI/ML 
Location &ndash; Work from Home 
Experience &ndash; 1-2 Year 
Education &ndash; B.E. / B. Tech / MCA 
Salary &ndash; Best in Class
</div></div></div></div></div></div><div></div><div><div>About the Role 
We are looking for a Junior Python Developer with a keen interest in Artificial Intelligence and Machine Learning. This role is ideal for candidates with around 1-2 year of professional experience in Python development and basic exposure to AI/ML frameworks. The candidate will support the team in building and maintaining AI-driven applications, working with data, and gaining hands-on experience in real-world machine learning projects.

Key Responsibilities 
<ul><li>
Assist in developing and maintaining Python-based applications and AI/ML models.
</li><li>
Support data preprocessing, cleaning, and basic analysis of structured and unstructured datasets.
</li><li>
Learn and contribute to implementing machine learning and deep learning algorithms.
</li><li>
Work with senior developers and data scientists to deliver AI-powered solutions.
</li><li>
Help in integrating models into production environments (APIs, web apps, or cloud platforms).
</li><li>
Write clean, efficient, and well-documented code under guidance.
</li><li>
Continuously learn and stay updated with emerging AI/ML frameworks and tools.
</li></ul>
Required Skills &amp; Qualifications 
<ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or related field (or equivalent practical experience).
</li><li>
Around 1 -2 year of professional experience in Python development.
</li><li>
Strong understanding of programming fundamentals, data structures, and OOP concepts.
</li><li>
Familiarity with AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas.
</li><li>
Basic understanding of model training, evaluation, and deployment.
</li><li>
Good problem-solving and analytical skills.
</li><li>
Ability to work in a collaborative, team-oriented environment.
</li></ul>
Nice-to-Have Skills 
<ul><li>
Exposure to data visualization libraries (Matplotlib, Seaborn, Plotly).
</li><li>
Familiarity with Git and version control.
</li><li>
Basic knowledge of REST APIs or cloud platforms (AWS/Azure/GCP).
</li><li>
Interest in areas like NLP, computer vision, or big data.
</li><li>
Eagerness to learn new technologies and frameworks.</li></ul></div></div></div>

Junior Python Developer

Kaliper Technologies Pvt Ltd

Job Title: Machine Learning (ML) Developer &ndash; PythonExperience: Minimum 3 Years Engagement Type: Short-Term Contract (3 Months) Number of Positions: 150 Start Date: Immediate Budget: &#8377;1,00,000 &ndash; &#8377;1,10,000 per Month Location: [Add your location or mention &ldquo;Remote/Hybrid/Onsite&rdquo;]About the Role:We are looking for highly skilled and motivated Machine Learning Developers with a strong foundation in Python and ML frameworks to join our dynamic team. The ideal candidate will have hands-on experience building and optimizing ML models, translating complex business requirements into intelligent, data-driven solutions.Key Responsibilities:<ul><li>Design, develop, and maintain end-to-end ML pipelines, including data ingestion, feature engineering, model training, and evaluation.</li><li>Collaborate with cross-functional teams to understand business requirements and convert them into actionable ML solutions.</li><li>Implement algorithms and statistical models to solve real-world business challenges.</li><li>Optimize model performance for speed, accuracy, and scalability.</li><li>Participate in code reviews, maintain high-quality documentation, and follow coding best practices.</li><li>Monitor and maintain ML models in production environments.</li><li>Research and apply the latest machine learning techniques to improve existing solutions.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Machine Learning, AI, Statistics, or a related field.</li><li>Minimum 3 years of hands-on experience in ML development.</li><li>Proficiency in Python and its ML ecosystem (NumPy, Pandas, Scikit-learn).</li><li>Practical experience with one or more ML frameworks: TensorFlow, PyTorch, Keras, Scikit-learn.</li><li>Expertise in key ML domains:</li><li>Supervised &amp; Unsupervised Learning</li><li>Time-Series Forecasting</li><li>NLP or Computer Vision</li><li>Statistical Modeling &amp; Data Wrangling</li><li>Strong understanding of model evaluation, tuning, and optimization.</li></ul>Preferred Qualifications:<ul><li>Experience with Deep Learning architectures (CNNs, RNNs, Transformers).</li><li>Exposure to MLOps tools and model deployment frameworks.</li><li>Hands-on experience with Databricks, PySpark, or AWS ML services.</li><li>Awareness of cloud-based data workflows and ML lifecycle management.</li><li>Active participation in Kaggle competitions or public ML challenges is a strong plus.</li></ul>Job Type: Contractual / Temporary Contract length: 12 monthsPay: &#8377;50,000.00 - &#8377;70,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Application Question(s):<ul><li>This is a contractual Remote job.Are you ok with it?</li><li>Do you have your own pc/laptop and broadband connection? As we are not providing it for remote job?</li><li>Do you have 3 years of Python experience?</li><li>How many years of experience do you have in ML?</li><li>What is your current location?</li><li>Our maximum salary range is within 60k - 70K. Are you ok with it?</li></ul>Work Location: Remote

Python for Machine Learning(contractual Remote Job)

Firebee techno services

About the RoleWe are looking for a passionate and curious AI Developer (Fresher) to join our AI engineering team. The ideal candidate should have a good foundation in programming, a basic understanding of machine learning and model training, and hands-on exposure to AI data pipelines and API-based AI integrations.This role is perfect for someone eager to work on end-to-end AI solutions &mdash; from data preparation and feeding to model training, fine-tuning, and deployment within production systems. You&rsquo;ll collaborate with senior engineers and data scientists to build intelligent applications powered by AI.Key Responsibilities<ul><li>Assist in training, fine-tuning, and validating AI/ML models using structured and unstructured datasets.</li><li>Support the data pipeline process &mdash; data collection, cleaning, annotation, augmentation, and feeding into models.</li><li>Work with teams to integrate AI models into web and mobile applications through RESTful APIs or SDKs.</li><li>Collaborate on experiment tracking, model evaluation, and performance optimization.</li><li>Implement automated scripts for dataset preparation, feature extraction, and training workflows.</li><li>Contribute to AI integration testing and deployment pipelines using cloud-based AI tools.</li><li>Stay current with emerging trends in machine learning, deep learning, and AI frameworks.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Strong programming skills in Python (must-have) and familiarity with libraries like NumPy, Pandas, and scikit-learn.</li><li>Basic understanding of machine learning algorithms, model training, and evaluation metrics.</li><li>Exposure to AI frameworks such as TensorFlow, Keras, or PyTorch.</li><li>Knowledge of data preprocessing, data annotation, and AI data pipelines.</li><li>Familiarity with AI API integrations (e.g., OpenAI, Hugging Face, Google Cloud AI, etc.).</li><li>Good understanding of RESTful APIs, JSON, and backend service integration.</li><li>Eagerness to learn and work in a fast-paced AI development environment.</li></ul>Preferred (Nice-to-Have) Skills<ul><li>Experience with LLM fine-tuning (e.g., GPT, BERT) or embedding-based retrieval systems.</li><li>Understanding of prompt engineering and model evaluation techniques.</li><li>Exposure to data labeling tools and AI dataset management platforms.</li><li>Knowledge of AI ethics, model bias, and data privacy principles.</li></ul>Job Types: Full-time, FresherPay: &#8377;12,542.70 - &#8377;59,853.77 per monthWork Location: In person

Al developer

Bit Canny Technologies Pvt. Ltd.

Job Summary:We are urgently hiring a Junior AI/ML Developer to join our growing team in Kolkata. The ideal candidate will have at least one year of hands-on experience in AI/ML development, and a passion for building intelligent, scalable solutions. A mandatory training period will be conducted post-joining to align with company tools, practices, and project requirements.Key Responsibilities:<ul><li>Assist in the design, development, and deployment of machine learning models and algorithms.</li><li>Work with large datasets to extract useful information and identify patterns.</li><li>Collaborate with data engineers, software developers, and product managers.</li><li>Implement and optimize ML models for production environments.</li><li>Continuously improve models based on feedback and performance metrics.</li><li>Participate in code reviews, documentation, and knowledge-sharing sessions.</li></ul>Required Skills:<ul><li>Strong understanding of core machine learning concepts and algorithms.</li><li>Hands-on experience with Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, etc.</li><li>Basic knowledge of data preprocessing, model training, and evaluation.</li><li>Familiarity with version control tools like Git.</li><li>Problem-solving attitude and willingness to learn new technologies.</li></ul>Preferred Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field.</li><li>Experience with deep learning, NLP, or computer vision is a plus.</li><li>Good communication and teamwork skills.</li></ul>Perks &amp; Benefits:<ul><li>Exposure to real-world AI/ML projects.</li><li>Supportive work environment with learning and growth opportunities.</li><li>Possibility of role advancement based on performance.</li></ul>How to Apply:Interested candidates are requested to send their updated CV to payel.bhattacharya@bitcanny.com with the subject line &quot;Application for Junior AI/ML Developer &ndash; Kolkata&quot;. Shortlisted candidates will be contacted for interview rounds shortly due to the urgency of the position.Job Types: Full-time, PermanentWork Location: In personJob Types: Full-time, PermanentPay: From &#8377;15,140.96 per monthWork Location: In person

Junior AI/ML Developer

Sumo Logic

<div><h2 class="jobSectionHeader">Machine Learning Engineer</h2>

The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data

As a Machine Learning Engineer, you'll build the intelligence behind the next generation of agentic AI systems that reason over massive, heterogeneous log data. You'll combine machine learning, prompt engineering, and rigorous evaluation to create autonomous AI agents that help organizations understand and act on their data in real time.

You'll be part of a small, high-impact team shaping how AI agents understand complex machine data. This is an opportunity to work on cutting-edge LLM infrastructure and contribute to defining best practices in context engineering and AI observability.
<h4 class="jobSectionHeader">
Responsibilities</h4>
<ul><li>Design, implement, and optimize agentic AI components including context engineering, memory management, and prompts.</li>
<li>Develop and maintain golden datasets by defining sourcing strategies, working with data vendors, and ensuring quality and representativeness at scale.</li>
<li>Prototype and evaluate novel prompting strategies and reasoning chains for model reliability and interpretability.</li>
<li>Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights.</li>
<li>Operate autonomously in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes.</li>
<li>Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement.</li>
<li>Maintain a strong bias for action&mdash;delivering incremental, well-tested improvements that directly enhance customer experience.</li>
</ul>
Required Qualifications
<ul>
<li>B.Tech, M.Tech, or Ph.D. in Computer Science, Data Science, or a related field.</li>
<li>2-4 years of hands-on industry experience with demonstrable ownership and delivery.</li>
<li>Strong understanding of machine learning fundamentals, data pipelines, and model evaluation.</li>
<li>Proficiency in Python and ML/data libraries (NumPy, pandas, scikit-learn); familiarity with JVM languages is a plus.</li>
<li>Working knowledge of LLM core concepts, prompt design, and agentic design patterns.</li>
<li>Strong communication skills and a passion for shaping emerging AI paradigms.</li>
</ul>
Desired Qualifications
<ul>
<li>Prior experience building and deploying AI agents or LLM applications in production.</li>
<li>Familiarity with modern agentic AI frameworks (e.g., LangGraph, LangChain, CrewAI).</li>
<li>Experience with ML infrastructure and tooling (PyTorch, MLflow, Airflow, Docker, AWS).</li>
<li>Exposure to LLM Ops - infrastructure optimization, observability, latency, and cost monitoring.</li>
</ul><h2 class="jobSectionHeader">About Us</h2>

Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.</div>

Machine Learning Engineer

Thales

JOB OBJECTIVE We are seeking a talented and enthusiastic AI/ML professional to join our team. This position is ideal for recent graduates or final year students in Computer Science or IT Engineering who are passionate about machine learning and artificial intelligence. The incumbent will play a key role in helping us define a solution to digitalize documents and develop a system capable of predicting qualifications based on database analysis. ROLES &amp; RESPONSIBILITIES <ul> <li>Collaborate with senior officials to understand project requirements and goals.</li> <li>Assist in the development and implementation of a machine-learning model to process and digitalize various documents.</li> <li>Work on algorithms that analyze data from the digital documents to make predictions about qualifications.</li> <li>Perform data preprocessing and cleaning to ensure high-quality input for the machine learning models.</li> <li>Conduct experiments and evaluations to measure the effectiveness of different models and approaches.</li> <li>Document processes, methodologies, and findings for future reference and knowledge sharing.</li> <li>Present progress updates and findings to the team in a clear and concise manner.</li> </ul> WORK EXPERIENCE REQUIREMENTS <ul> <li>Solid understanding of machine learning concepts and algorithms.</li> <li>Experience with programming languages such as Python, R, or Java.</li> <li>Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.</li> <li>Knowledge of data preprocessing techniques and tools.</li> <li>Strong analytical and problem-solving skills.</li> <li>Excellent communication and teamwork abilities.</li> <li>Ability to learn quickly and adapt to new challenges.</li> </ul> QUALIFICATION, CERTIFICATION &amp; EDUCATIONAL REQUIREMENTS <ul> <li>Educational background in Computer Science, IT Engineering, or a related field.</li> </ul> PREFERRED SKILLS <ul> <li>Experience with natural language processing (NLP) and document digitalization.</li> <li>Understanding of database design and management.</li> <li>Familiarity with cloud services and deployment (AWS, Azure, GCP).</li> <li>Previous internship or project experience in AI/ML.</li> </ul> HSE RESPONSIBILITIES* <ul> <li>Ensure both your own safety and the safety of others at all times.</li> <li>Maintain an active role in achieving the objectives and adhering to the HSE Thales Policy</li> <li>Comply with local HSE laws and legislation.</li> <li>To use safety equipment (including PPE) as required and intended.</li> <li>Lead by example and actively encourage departments to look at ways to conserve water &amp; energy, minimise the generation of waste, and encourage recycling.</li> <li>Every one within Thales has the right to stop work if they believe that their activities may affect their health and safety or that of others. In this circumstance, such conditions must be reported immediately to their line manager and the HSE department.</li> </ul>

Graduate AI/ML Engineer

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