11+ Outside sales Jobs in Hyderabad | Outside sales Job openings in Hyderabad

• Demonstrate, present and promote services to salons, spas & gyms (Beauty & Wellness Industry)
• Should have excellent verbal & presentation skills
• Knowlege of local language is a must
• Should be inovative and target driven
• Willing to travel
• Demonstrate honesty & integrity

We are just getting started! This is not just an opportunity to be part of the startup journey but help shape the journey by building things from scratch. We are looking to hire a Program Manager who can own verticals and lead functional teams within the company for execution. This is a high-impact, critical role to craft the future roadmap of the organization

Responsibilities:

• Lead implementation of orgn in key partner institutes
• Own the entire process of onboarding a partner institute
• Define custom made' offerings for the parents of a particular institute
• Single point of contact between the org institute partnerships team, institute management and org inside sales team
• Be responsible for anything and everything' in the partner institutes
• Be responsible for parent outreach in the institutes
• Strategize and execute plans for customer acquisition along with the management - events, referrals etc.
• P& L owner of key accounts
• Take lead in selling and implementing companies full suite of financial and payment solutions in the partner institutes
• Lead the ideation, planning, and execution of these initiatives / projects while working directly with the founding team
• Own execution from strategy design and setup to pilot and eventual scale-up
• Work closely with different teams within the company (sales, marketing, strategy, and product) to execute the project
• Build and lead high-performing teams to scale these initiatives

Requirements:

• Degree from top tier colleges (IITs, IIMs, ISB, BITS etc. ) and 2-6 years of experience in project management, product development, growth, new initiatives at top startups
• Track record of outperformance / over-achieving targets in previous work places
• Experience in leading initiatives and delivering results in a time-bound manner
• Prior experience in early stage startups or as a founder is a huge plus
• Prior exposure to B2C or understanding of financial services is a plus
• Self-starter with a high sense of ownership Comfortable to work with minimal supervision
• Hungry to learn and grow
• Passion to learn & be a better version of oneself; motivated to succeed
• Bias for action Have the temperament to experiment and execute in uncertainty
• Hustler Ability to generate resources to solve a problem
• Intellectual honesty Always seeking and presenting truth irrespective of personal POV or beliefs
• Mission-oriented
• Deeply care about delivering value and making an impact on customer's lives
• Startup experience is a must

POSITION / TITLE: Data Science Lead

Location: Offshore – Hyderabad/Bangalore/Pune

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. 

‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

· Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

· Perform data cleaning, feature engineering, and exploratory data analysis.  

· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

· Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

· Ability to translate complex machine learning problem statements into specific deliverables and requirements.

· Should have worked with major cloud platforms such as AWS, Azure or GCP.

· Working knowledge of SQL and no-SQL databases.

· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

· Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills – Good to have:

· Track record of getting ML models into production

· Experience building chatbots.

· Experience with closed and open source LLMs.

· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…

· Certifications or courses in data science.

Education:

· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

· Understanding of  Agile and Scrum  methodologies.  

· Ability to follow SDLC processes and contribute to technical documentation.  

Behavioral Skills :

· Self-motivated and capable of working independently with minimal management supervision.

· Well-developed design, analytical & problem-solving skills

· Excellent communication and interpersonal skills.  

· Excellent team player, able to work with virtual teams in several time zones.

Hands-on knowledge in machine learning, deep learning, TensorFlow, Python, NLP 2. Stay up to date on the latest AI emergences relevant to the business domain. 3. Conduct research and development processes for AI strategies. 4. Experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. 5. Experience with transformer models such as BERT, GPT, RoBERTa, etc, and a solid understanding of their underlying principles is a plus

Good-to-Have 1. Have knowledge of software development methodologies, such as Agile or Scrum 2. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. 3. Have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face 4. Ensure the quality of code and applications through testing, peer review, and code analysis. 5. Root cause analysis and bugs correction 6. Familiarity with version control systems, preferably Git. 7. Experience with building or maintaining cloud-native applications. 8. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is Plus

SN Role descriptions / Expectations from the Role

1 Design, Develop and configure GenAI applications to meet the business requirements.

2 Optimizing existing generative AI models for improved performance, scalability, and efficiency

3 Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation

Key Responsibilities:

·      Solution Design: Collaborate with clients to understand their business requirements and design comprehensive Informatica MDM solutions tailored to their needs.

·      Implementation: Lead the implementation of Informatica MDM solutions, including configuration, customization, and integration with existing systems.

·      Data Modelling: Design and implement data models to support MDM initiatives, ensuring data integrity, accuracy, and consistency across systems.

·      Data Quality Management: Implement Informatica Data Quality (IDQ) processes and workflows to improve data quality and ensure compliance with organizational standards.

·      Integration: Integrate Informatica MDM solutions with other enterprise systems, such as CRM, ERP, and BI platforms, to facilitate seamless data exchange and interoperability.

·      Customization: Develop custom components, workflows, and extensions to extend the functionality of Informatica MDM and meet specific business requirements.

·      Data Governance: Establish data governance policies, standards, and best practices to govern the use, management, and quality of master data within the organization.

·      Documentation: Prepare comprehensive documentation, including solution designs, technical specifications, user guides, and training materials, to support the implementation and maintenance of Informatica MDM solutions.

·      Testing and Quality Assurance: Conduct thorough testing and quality assurance activities to ensure the reliability, scalability, and performance of Informatica MDM solutions.

·      Training and Support: Provide training and support to end-users, administrators, and stakeholders to ensure successful adoption and utilization of Informatica MDM solutions.

What you’ll bring

• Bachelor's degree in Computer Science, Information Systems, or related field; Master's degree preferred.
• Minimum of 4 years of experience in implementing and configuring Informatica MDM solutions.
• Proficiency in Informatica MDM Hub, Informatica Data Director, Informatica Data Quality (IDQ), and related Informatica tools and technologies.
• Strong understanding of data modelling principles, data integration concepts, and master data management best practices.
• Hands-on experience with data profiling, cleansing, and transformation using Informatica IDQ.
• Experience with data governance frameworks, data stewardship workflows, and data quality metrics.
• Excellent communication skills and the ability to effectively collaborate with cross-functional teams and stakeholders.
• Proven ability to work independently, manage multiple priorities, and deliver high-quality results within tight deadlines.
• Informatica certification(s) in MDM and/or IDQ is a plus.

We are actively seeking a self-motivated Data Engineer with expertise in Azure cloud and Databricks, with a thorough understanding of Delta Lake and Lake-house Architecture. The ideal candidate should excel in developing scalable data solutions, crafting platform tools, and integrating systems, while demonstrating proficiency in cloud-native database solutions and distributed data processing.

Key Responsibilities:

• Contribute to the development and upkeep of a scalable data platform, incorporating tools and frameworks that leverage Azure and Databricks capabilities.
• Exhibit proficiency in various RDBMS databases such as MySQL and SQL-Server, emphasizing their integration in applications and pipeline development.
• Design and maintain high-caliber code, including data pipelines and applications, utilizing Python, Scala, and PHP.
• Implement effective data processing solutions via Apache Spark, optimizing Spark applications for large-scale data handling.
• Optimize data storage using formats like Parquet and Delta Lake to ensure efficient data accessibility and reliable performance.
• Demonstrate understanding of Hive Metastore, Unity Catalog Metastore, and the operational dynamics of external tables.
• Collaborate with diverse teams to convert business requirements into precise technical specifications.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.
• Demonstrated hands-on experience with Azure cloud services and Databricks.
• Proficient programming skills in Python, Scala, and PHP.
• In-depth knowledge of SQL, NoSQL databases, and data warehousing principles.
• Familiarity with distributed data processing and external table management.
• Insight into enterprise data solutions for PIM, CDP, MDM, and ERP applications.
• Exceptional problem-solving acumen and meticulous attention to detail.

Additional Qualifications :

• Acquaintance with data security and privacy standards.
• Experience in CI/CD pipelines and version control systems, notably Git.
• Familiarity with Agile methodologies and DevOps practices.
• Competence in technical writing for comprehensive documentation.

• Create and maintain new hire and personnel files and enter them into Human Resources Information Systems.
• Assist with orientation of new employees.
• Ensure accurate maintenance of all employee records and files (e.g., interview documents, ).
• Support processing and maintenance of payroll records in accordance with policies and procedures, as necessary.
• Generate Human Resources data reports as necessary Answer phone calls and record messages.
• Create and type office correspondence using computer.
• Serve as Human Resources subject matter expert and participate on project teams.
• Day to day operations of the HR function
• End to End Recruitment process like Sourcing of candidates from job portals, taking care of interview and selection process.
• HR Administration (eg. leave management, employee database, salary inputs, training history cards)

• Strong communication and organizational skills
• Must be self-motivated with a strong sense of urgency
• Ability to handle multiple priorities while maintaining strong attention to detail and adhering to deadlines
• Strong interpersonal and communication skills, both oral and written
• Able to create a positive employee experience so that people want to join and stay with the organisation
• Sound judgment and problem-solving skills
• Familiarity with MS Office/Excel/Outlook