7 Top Companies Hiring Data Analyst & Machine Learning Engineer (Apply Now Before Closing)

1. Data Platform Engineer at Accenture

• Company: Accenture (Global professional services)
• Role: Data Platform Engineer (Chennai, Full-time)
• Key Skills: Databricks, statistical analysis, machine learning, data visualization, data cleaning/transformation.
• Responsibilities: Design/implement data platform, collaborate with architects, and develop/maintain components.
• Why Accenture? Employee-centric, innovative, global impact, learning opportunities.

Apply: Less than 10 applicants so far!

2. Data Engineer at IBM

• Company: IBM (Global technology & consulting)
• Role: Data Engineer (Pune, Full-time)
• Key Skills: Informatica PowerCenter, cloud, Power BI, Python, SQL, Big Data.
• Responsibilities: Develop/maintain data pipelines, collaborate with teams, address data quality, assist data scientists, and implement predictive models.
• Why IBM? Innovation, collaboration, mentorship, growth, impact.

Apply ( 49 applicants have applied.)

A few certification courses that you can take to make these companies hire you

1. IBM Data Science Professional Certificate: A comprehensive program covering Python, SQL, data analysis, visualization, and machine learning.
2. Google Data Analytics Professional Certificate: Develop in-demand skills for data analysis, including data cleaning, visualization, and using spreadsheets and SQL.
3. Deep Learning Specialization (deeplearning.ai): Taught by Andrew Ng, this specialization covers neural networks, backpropagation, and various deep learning architectures.
4. Machine Learning Specialization: A broader overview of machine learning, including regression, classification, clustering, and recommendation systems.
5. Data Science: Foundations using R Specialization (Johns Hopkins University): Learn the fundamentals of data science with R, covering data wrangling, visualization, and statistical inference.

3. Data Scientist at Honeywell

• Company: Honeywell (Consumer Electronics & Appliances)
• Role: Data Scientist II (Bangalore, Hybrid, Full-time)
• Key Skills: Data analysis, statistical modelling, machine learning, Generative AI, Azure OpenAI, Python/R, SQL.
• Responsibilities: Apply AI to develop solutions, collaborate with the HR team, provide data-driven insights, and improve methodologies using Azure OpenAI.
• Requirements: 2+ years of experience, proficiency in Python/R, Azure, SQL, strong analytical & communication skills.
• Preferred: Degree in CS/Stats/Math, UI development, HR experience.
• Why Honeywell? Leading automation & software solutions provider, part of global Honeywell Inc.

Apply: 296 applicants have applied.

TOP Certification courses from UDEMY

1. Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]: Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
2. The Data Science Course 2024: Complete Data Science Bootcamp: Complete Data Science Training: Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning
3. Python for Data Science and Machine Learning Bootcamp: Learn Python programming for data science, including NumPy, pandas, Matplotlib, and machine learning libraries.
4. Natural Language Processing (NLP) with Deep Learning in Python: NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python

4. Machine Learning Scientist at PayPal

• Company: PayPal (FinTech/Payments)
• Role: Machine Learning Scientist (Bengaluru, Full-time)
• Key Skills: Machine learning, Deep learning, Natural Language Processing (NLP), Python, PyTorch, Large Language Models (LLMs).
• Responsibilities: Develop/implement ML solutions, analyze customer data, drive actionable insights, and research/experiment with emerging technologies.
• Requirements: Bachelor's/Master's/Ph.D. in CS/Stats/Math or related field, 2+ years of ML/NLP experience, proficiency in Python/PyTorch.
• Preferred: Experience with LLMs (GPT, BERT, etc.), strong track record of delivering business impact through ML.
• Why PayPal? Championing possibilities for people and businesses worldwide, focus on customer satisfaction, and cutting-edge AI/ML work.

Apply: Less than 10 applicants so far!

Top certification courses from MIT and Harvard

1. MicroMasters® Program in Statistics and Data Science (MITx): A rigorous program covering probability, statistics, machine learning, and data analysis.
2. Professional Certificate in Data Science (HarvardX): Learn R programming, data wrangling, inference, and modelling for data science applications.

5. Data Scientist at American Express

• Company: American Express (Financial Services)
• Role: Analyst - Data Science (Gurugram, Full-time)
• Key Skills: Model risk management, machine learning, Gen AI, data analysis, Python/R/Java, statistical techniques.
• Responsibilities: Conduct independent model oversight (especially Gen AI), assess and strengthen model risk controls, drive ML research, and communicate findings.
• Requirements: 0-3 years experience in analytics/modelling/data science, MBA/Master's in ML/CS/Stats or related field, strong analytical & communication skills.
• Preferred: Experience with model development/validation, advanced statistical techniques, cross-functional collaboration.
• Why American Express? Competitive compensation, benefits package, flexible work model, and career development opportunities.

Apply: Less than 10 applicants so far!

6. Junior Machine Learning Engineer at Kapture CX

• Company: Kapture CX (Customer Support Automation Platform)
• Role: Junior Machine Learning Engineer (Bengaluru, Full-time)
• Key Skills: Machine learning, NLP, Python, Scikit-Learn, TensorFlow, PyTorch, Huggingface Transformers, ChatGPT/Gemini APIs, LangChain, Lamma Index.
• Responsibilities: Develop/evaluate ML models, collaborate on integrations, conduct experiments, and stay updated on ML research.
• Requirements: Bachelor's/Master's in CS/related fields, 1+ year ML experience, Python proficiency, experience with ML frameworks.
• Preferred: 1+ year ML project experience, cloud platforms, deep learning knowledge, strong communication.
• Why Kapture CX? Work on cutting-edge ML, collaborative environment, and impact customer support.

Apply: High applicant volume (2461).

I hope it helps!

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