machine learning specialist

Ashwini Kamble

<p>Biitcode is urgently hiring <b>Data Scientist</b> for our reputed Client into Software Development . Plz find details below.</p><p><b>Position: Data Scientist</b></p><p><b>Location: Bengaluru</b></p><p><b>Contact Person: 8788692727</b></p><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>3+ years of experience in data science or applied machine learning (for mid-level roles).</li><li>Strong proficiency in <b>Python</b> (NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn).</li><li>Experience with <b>machine learning frameworks</b> such as TensorFlow or PyTorch.</li><li>Solid understanding of <b>statistics, probability, and hypothesis testing</b>.</li><li>Hands-on experience with <b>data wrangling, feature engineering, and model evaluation</b>.</li><li>Knowledge of <b>SQL</b> and working with relational databases.</li><li>Exposure to <b>time series analysis, natural language processing (NLP), or computer vision</b> is a plus.</li><li>Experience in <b>big data technologies</b> (Spark, Hadoop) is an advantage.</li><li>Strong problem-solving skills and the ability to translate business needs into analytical solutions.</li></ul><p><b>Key Responsibilities:</b></p><ul><li>&Oslash; Work in the machine learning team as an individual contributor, building, testing and deploying our models.</li><li>&Oslash; Familiar with several ML techniques and have both theoretical ML knowledge and experience implementing different types of solutions.</li><li>&Oslash; Proficient in Python topics, focus on: List, dictionary set, lambda function, decorator function, Generators, memory allocation, Sorting algorithm&hellip;</li><li>&Oslash; Have a good understanding of the ecosystem of tools and libraries supporting ML development (e.g. TensorFlow, PyTorch etc).</li><li>&Oslash; Experience in performing Exploratory data analysis &amp; background in Statistics</li><li>&Oslash; Prior experience working with time series modelling and industrial or IoT data.</li><li>&Oslash; Experience in any of: systems dynamics modelling, model predictive control, Reinforcement Learning, system identification or Bayesian statistics.</li><li>&Oslash; Prior experience working on Industrial AI or manufacturing domains, preferably cement, metals, oil &amp; gas, thermodynamic process or heavy process industries.</li><li>&Oslash; Prior experience in writing unit testcase.</li><li>&Oslash; Contribute to technical innovation, problem solving across the machine learning lifecycle.</li><li>&Oslash; Collaborate with the product team on customer projects, planning, designing and delivering the work packages required, as well as playing a significant role in the development of our wider product.</li><li>&Oslash; Help establish best practices, improving our internal processes.</li><li>&Oslash; Contribute to the design and implementation of robust, maintainable and scalable machine learning systems.</li><li>&Oslash; Working in a fast-paced startup environment, with an agile process.</li></ul><p><b>Interested candidate can share their CV on whats app- 8788692727.</b></p><p><b>Thanks and Regards,</b></p><p><b>Poonam P.</b></p><p><b>Human Resource</b></p><p><b>Biitcode</b></p><p>Job Type: Full-time</p><p>Pay: &#8377;1,500,000.00 - &#8377;2,000,000.00 per year</p><p>Work Location: In person</p>

Data Scientist

MBC GROUP

<div>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Model Development &amp; Implementation
   </strong>
   : Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks.
  </li>
  <li>
   <strong>
    AI Solutions
   </strong>
   : Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
  </li>
  <li>
   <strong>
    Data Analysis &amp; Exploration
   </strong>
   : Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
  </li>
  <li>
   <strong>
    Collaborative Problem Solving
   </strong>
   : Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives.
  </li>
  <li>
   <strong>
    Model Optimization
   </strong>
   : Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
  </li>
  <li>
   <strong>
    Scalability &amp; Performance
   </strong>
   : Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability.
  </li>
  <li>
   <strong>
    Stay Current with AI Trends
   </strong>
   : Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage.
  </li>
  <li>
   <strong>
    Reporting &amp; Communication
   </strong>
   : Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  </li>
  <li>
   Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
  </li>
  <li>
   Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  </li>
  <li>
   Strong proficiency in programming languages such as Python, R, or similar.
  </li>
  <li>
   Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
  </li>
  <li>
   Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
  </li>
  <li>
   Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
  </li>
  <li>
   Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Fidelity International

<div><div>About the Opportunity</div>
Job Type: Permanent<div></div>
Application Deadline: 09 November 2025<div></div><div>
Job Description</div><div></div><div><br>
Title Specialist - Analytics</div><div>
Department Analytics</div><div>
Location Gurgaon</div><div>
Level 5</div><div></div><div>
We are proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our Analytics team and feel like you&rsquo;re part of something bigger.</div><div></div><div>
About our team</div><div></div><div>
Fidelity's Analytics function in India supports the company's global Sales, Marketing, Risk, Finance, Customer Service, and HR teams. The function's main objectives include developing a deep understanding of customers, identifying sales growth opportunities, refining products and services, and developing market and competitive intelligence. The Analytics function works closely with business heads and senior stakeholders to identify areas of analytics, define problem statements, and develop key insights.</div><div></div><div>
About the role</div><div><br>
Are you good at solving problems or do you know someone who is? Do you have a passion for data and analytics? Do you want to work on projects that have a positive impact on society? If you answered yes to any of these questions, then we have an exciting opportunity for you.</div><div></div><div>
We are looking for a Specialist - Analytics to join our team and help us with the following tasks:</div><div></div><ul><li>
Analysis and insight generation: You will use various data sources and methods to explore, understand, and communicate patterns, trends, and insights that are relevant to our clients and stakeholders.</li><li>
Creating ML models: You will apply machine learning techniques and tools to build, evaluate, and deploy predictive and prescriptive models that address our business challenges and opportunities.</li><li>
Dashboarding and storytelling: You will create and maintain interactive dashboards and reports that highlight our data analysis and model results in a clear and compelling way.</li><li>
Data Engineering: You will collaborate with the Data Engineering teams to enhance data availability and automate processes.</li></ul><div></div><div>
About you</div><div></div><div>
To be successful in this role, you will need the following skills and qualifications:</div><div></div><ul><li>
Bachelor&rsquo;s degree or higher in a quantitative discipline (e.g., statistics, mathematics, computer science, engineering, or economics).</li><li>
At least 7 years of experience in data analysis, data science, or similar fields.</li><li>
Proficient in Python, SQL, or comparable programming languages; experienced with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or Keras.</li><li>
Skilled in using data visualization tools like Tableau or Power BI.</li><li>
Familiarity with Knime, Alteryx, or similar platforms is advantageous.</li><li>
Strong analytical thinking and problem-solving abilities, with a logical approach to addressing complex challenges.</li><li>
Effective communicator, able to present data-driven insights and stories to senior stakeholders; supports business leaders in defining problems and making decisions.</li><li>
Demonstrates adaptability, takes ownership in ambiguous situations, and successfully manages projects independently.</li><li>
Works collaboratively within cross-functional and global teams.</li></ul><div></div><div>
Feel rewarded!</div><div></div><div>
For starters, we will offer you a comprehensive benefits package. We will value your wellbeing and support your development. And we will be as flexible as we can about where and when you work &ndash; finding a balance that works for all of us. It is all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.</div><div></div><div>
For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.</div></div>

Specialist - Analytics

Advanced Construction Technology Services

<p><b>Key Responsibilities:</b></p><ul><li>Collect, clean, and preprocess large and complex datasets from multiple sources.</li><li>Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.</li><li>Build and validate predictive and prescriptive models using statistical and machine learning techniques.</li><li>Visualize and communicate insights through dashboards, reports, and presentations.</li><li>Design, train, and deploy machine learning and deep learning models.</li><li>Collaborate with software engineers and data engineers to integrate AI models into products or systems.</li><li>Continuously evaluate and improve model accuracy, performance, and reliability.</li><li>Stay updated with the latest AI, data science, and related technologies developments.</li><li>Experiment with new tools, frameworks, and techniques to improve workflow efficiency.</li></ul><p><b>Qualifications and Skills:</b></p><p><b>Education:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li></ul><p><b>Technical Skills:</b></p><ul><li>Proficiency in <b>Python</b></li><li>Experience with <b>SQL</b> and <b>NoSQL</b> databases.</li><li>Strong knowledge of <b>machine learning algorithms</b>, <b>deep learning architectures</b>, and <b>data preprocessing techniques</b>.</li><li>Experience with <b>data visualization</b> tools (Power BI, Tableau, Plotly, etc.).</li></ul><p><b>Soft Skills:</b></p><ul><li>Strong analytical and problem-solving abilities.</li><li>Excellent communication and presentation skills.</li><li>Ability to work independently and collaboratively in cross-functional teams.</li><li>Attention to detail and commitment to quality.</li></ul><p><b>Preferred Experience:</b></p><ul><li>4 years of experience in data science, AI engineering, or applied machine learning roles.</li><li>Experience in a specific domain (Construction) is a plus.</li><li>Ready to start immediately</li></ul><p>Job Type: Full-time</p>

AI Engineer

EarnIn

<div><div><h3 class="jobSectionHeader"><b>About EarnIn</b></h3>
<p>
As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.</p>
<p>
We're fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We're growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.</p></div><div>
<div>
<p><b>POSITION SUMMARY</b></p>
<p>
Machine learning is integral to every financial service we provide. As we embark on a transformative phase, EarnIn is making significant investments to innovate and set new standards in ML applications within fintech. We are seeking skilled engineers to create groundbreaking solutions with large language models, generative AI, and advanced machine learning algorithms, generating substantial business and social impact.</p>
Machine learning is the enabler for every financial service EarnIn provides its community members. We are going through transformative investments in machine learning. We aim to lead the innovation and operational excellence in machine learning for the fintech industry. We seek experienced engineers to create first-of-a-kind success stories through large language models, generative AI, and state-of-the-art machine learning algorithms and realize outsize business and social impact.</div>
<div></div>
<div>The Mountain View base salary range for this full-time position is $272,700 - $333,300 plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View and will require in-office work 2-3 days a week.</div>
<div><br>
<b>WHAT YOU'LL DO</b>
<ul><li>Design, develop, A/B test, and deploy risk models while collaborating with data scientists to drive data-driven decisions.</li>
<li>Enhance credit and fraud models by incorporating innovative features on a quarterly basis and leveraging the latest industry research.</li>
<li>Monitor feature and model health, and communicate changes in model decisions.</li>
<li>Explore and integrate advanced technologies, including deep learning in the risk domain.</li>
<li>Lead by example to foster operational excellence and transformative change.</li>
<li>Expand responsibilities as new products emerge.</li>
</ul>
<p><b>WHAT WE'RE LOOKING FOR</b></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li>
<li>7+ years of experience in machine learning with strong software engineering skills.</li>
<li>Proficiency in a broad range of ML techniques deep learning, sequence models, and tree-based models.</li>
<li>Advanced programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.</li>
<li>Hands-on experience with cloud-based ML platforms (e.g., AWS Sagemaker, Databricks, GCP Vertex AI).</li>
<li>Hands-on experience with modern LLM stack: foundations models and APIs such as Open AI and Andtropic; LLM guardrails, framework such as LangGraph, LangChain; ML flow.</li>
<li>Strong communication and collaboration skills.</li>
<li>Passion for continuous learning and staying updated on industry trends.</li>
</ul></div><div>#LI-Hybrid</div>
</div>
<div></div><div><p>At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.</p>
<p>
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.</p></div></div>

Staff Machine Learning Engineer (Applied ML)

Apple

<div>The people here at Apple don&rsquo;t just build products- they craft the kind of wonder that has revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Imagine what you could do here. Join Apple, and help us leave the world better than we found it! A job at Apple is unlike any other you&rsquo;ve had. You will be challenged. You will be inspired. And you&rsquo;ll be proud! At Apple, phenomenal ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish! At Apple, we work every day to create products that enrich people&rsquo;s lives. Apple Ads makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Apple Ads Team is seeking a Machine Learning Engineer who will help build numerous features to advertisers and consumers while simultaneously supporting scalable modelling and continuous experimentation.
<br>
<br>
<b>Description</b><br>
<br>
Apple Ads Engineering team is a diverse, global, agile engineering team that moves smart and fast by consuming and optimizing readily available technology. In this role, you will drive the development, fine-tuning and productionization of large-scale ML models through continuous experimentation. You will design and implement automated ML pipelines for data preprocessing, feature engineering, prompt engineering model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve, thus delivering on Apple's privacy commitments and changing the way advertising works with data.
<br>
<br>
<b>Minimum Qualifications</b><br>
<ul><li>
3+ years of experience in building machine learning models.
</li><li>Proficiency in data processing technologies (e.g Kafka, Spark, Flink)
</li><li>Experience building and fine-tuning machine learning models
</li><li>Prior experience with Python &amp; Java/Scala/C++ or equivalent.
</li><li>Experience with the model development lifecycle
</li><li>Experience with machine learning libraries and frameworks
</li><li>Experience writing machine learning applications and mission-critical code for production machine learning systems
</li><li>Experience building and scaling cloud-based architectures
</li><li>Experience building AI/ML tooling and/or infrastructure
</li><li>Experience working on distributed systems where scalability and performance are critical
</li><li>Pride in building tools to automate routine tasks, organised &amp; detailed
</li><li>Familiarity with cloud paradigms (e.g AWS or GCP)
</li><li>Strong problem-solving and debugging skills.
</li><li>Have the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
</li><li>A desire to work in a fast-paced and challenging work environment.
</li></ul><br>
<b>Preferred Qualifications</b><br>
<ul><li>
5+ years of experience in building large scale distributed systems.
</li><li>Results oriented with a desire to work in a fast-paced and collaborative work environment
</li><li>Prior experience in the advertising industry is a plus
</li>BS, MS or PhD, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimisation, Reinforcement Learning or related field with experience building large-scale production systems<br>
<li>
</li></ul><br>
<br>
Submit CV</div>

Machine Learning Engineer - Apple Ads

American Express

<div><p>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
</p><p>Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
</p><p><b>How will you make an impact in this role?
</b></p><div><b>Job Responsibilities:
</b></div><ul><li>Formulate business problems as technical data / engineering problem while ensuring key business drivers are captured in collaboration with product stakeholders.
</li><li>Collaborate across a team of engineers, scientist and data engineers to design, develop, test, and deploy machine learning/deep learning models and NLP based features
</li><li>Responsible for the end-to-end solution, from prototyping the models to offline experimentation to production level code that uses these models.
</li><li>Work with product engineering to ensure implement-ability of solutions. Deliver prototypes and production code based on need.
</li><li>Contribute to the product roadmap and planning
</li><li>Contribute to the improvement of our end-to-end platform, including design, development, implementation, testing and debugging
</li><li>Experiment with in-house and third party data sets to test hypotheses on relevance and value of data to business problems.
</li><li>Customize the latest available models in machine learning for various scenarios and integrate them in our product.
</li><li>Deployment of engineered models as APIs or batch for consumption.
</li><li>Participate in model review and governance process.
</li><li>Apply the latest advances in deep learning and machine learning to increase our current models&rsquo; performance
</li>Work on cross functional teams and collaborate with internal and external stakeholders<br>
<li>
</li></ul><div></div><div><b>Qualification:
</b></div><ul><li>Work Experience:
<ul><li>5+ years of experience in Data Analytics and Machine Learning Engineering.
</li></ul></li>Academic
Bachelor degree in a technical field such as computer science, computer engineering or related field required. Advanced degree in Statistics, Machine Learning or Artificial Intelligence is preferred.<br>
<li><ul><li>
</li></ul></li></ul><div></div><div><b>Preferred Qualification:
</b></div><ul><li>5+ years working experience in machine learning, statistics, or natural language processing (or equivalent research experience) or MS/PGD in Machine Learning or a related technical discipline with 4+ year of work experience.
</li><li>Involved with research/experimentation activities with research activities as patent filling, community developments, collaboration etc.
</li><li>Expertise in machine learning spanning supervised and/or unsupervised learning methods and applying ML to real-world problems.
</li><li>Broad knowledge of ML techniques such as Time Series algorithms, Levenshtein distance fuzzy wuzzy algorithm ,Decision Tree Ensembles, Neural Networks, Clustering.
</li><li>Experience with BERT Transformer model will be plus.
</li><li>Familiar with Hadoop, Spark, Hive/Pig will be a plus.
</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow, Keras
</li><li>Experience using machine learning libraries or platforms, including Tensorflow, Scikit-Learn, or MLFlow for production or commercial products
</li><li>Experience in Natural Language Processing.
</li><li>Ability to program in one or more scripting languages such as Python and one or more programming languages such as Java or Scala
</li><li>Independent, self-driven person with a high sense of accountability
</li><li>Excellent problem solving and data analysis skills. Effective communication skills, both verbal and written, and a great team player
</li><li>Proficiency in designing &amp; solving classification/prediction problems
</li><li>Proficiency in data manipulation using Spark or Python tools such as Pandas, NumPy etc.
</li><li>Awareness on Docker containerization and managing CI-CD pipeline.
</li></ul><p>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
</p><ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>Support for financial-well-being and retirement
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>Generous paid parental leave policies (depending on your location)
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul><p>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
</p><p>Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.</p></div>

Senior AI Engineer I

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Machine Learning Engineer - Apple Ads

Senior AI Engineer I